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ARTIFICIAL INTELLIGENCE AND CRIME IN THE CONTEXT OF RAT

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

The development of artificial intelligence, a type of intelligence designed by humans and used by machines, is leading to changes in many areas. These changes have positive features but also bring risks. The relationship between artificial intelligence and crime is included in this risky area. This issue can be addressed in two dimensions. While the first dimension covers crimes committed through artificial intelligence and crimes committed by artificial intelligence, the second dimension includes the facilitating effect of artificial intelligence in crime pursuit. Artificial intelligence facilitates crimes by changing the methods of traditional crimes or changing the nature of crime by going beyond traditional crimes. Instead of crimes where the criminal and the victim use the same time and place, crimes in which temporal and spatial coexistence is not a mandatory condition emerge. The purpose of this study is to examine the relationship between artificial intelligence and crime, specifically the issue of artificial intelligence's criminal liability, and to explore how routine activity theory might address these crimes. To this end, a literature review method was used in the study. Given the limited studies on the explanatory power of routine activity theory in the literature on artificial intelligence and crime, as well as the rapid pace of digitalization and the early stage of research on the subject, this study aims to contribute to the literature.

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056

RUTİN AKTİVİTE TEORİSİ (RAT) BAĞLAMINDA YAPAY ZEKÂ VE SUÇ

Year 2025, Volume: 9 Issue: 3, 272 - 292, 17.10.2025

Abstract

İnsanların tasarladığı, makinaların kullandığı bir zekâ türü olan yapay zekânın gelişimi pek çok alanda değişimlere yol açmaktadır. Bu değişimler olumlu özellikler barındırdığı gibi riskleri de beraberinde getirmektedir. Yapay zekâ ve suç ilişkisi bu riskli alan içindedir. Bu mesele iki boyutlu olarak ele alınabilir. Birinci boyutta yapay zekâ aracılığıyla işlenen ve yapay zekânın işlediği suçlar yer alırken ikinci boyutta suç takibinde yapay zekânın kolaylaştırıcı etkisi bulunmaktadır. Yapay zekâ, geleneksel suçların yöntemlerini değiştirerek ya da tamamen geleneksel suçların dışına çıkılarak suç işlemeyi kolaylaştırmakta ve suçun doğasını değiştirmektedir. Suçlunun ve mağdurun aynı zaman ve mekânı kullandığı suçlardan ziyade zamansal ve mekânsal birlikteliğin zorunlu koşul olmadığı suçlar ortaya çıkmaktadır. Bu çalışmanın amacı yapay zekâ ve suç ilişkisiyle yapay zekânın cezai sorumluluğu meselesini irdelemek ve rutin aktivite teorisinin bu suçları ne şekilde ele alabileceğini ele almaktır. Bu amaçla, çalışmada literatür taraması yöntemi kullanılmıştır. Yapay zekâ ve suç üzerine yapılan literatür çalışmasında rutin aktivite teorisinin açıklayıcılığı üzerine çalışmaların sınırlı olması ayrıca dijitalleşmenin hız kazanması ve konunun incelenmesinin erken dönemi olması nedeniyle literatüre katkı sağlamak amaçlanmaktadır.

References

  • Abbott, R., & Sarch, A. F. (2019). Punishing Artificial Intelligence: Legal Fiction or Science Fiction (SSRN Scholarly Paper 3327485). Social Science Research Network. https://doi.org/10.2139/ssrn.3327485
  • Ak, T. (2021). Yapay Zekâ Teknolojileri, Güvenlik ve Kolluk Kuvvetinin Suç Önleme Faaliyetleri. SDE Akademi, 1(1), Article 1.
  • Akbulut, B. (2023). Yapay Zeka ve Ceza Hukuku Sorumluluğu. Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi, 27(4), Article 4. https://doi.org/10.34246/ahbvuhfd.1339596
  • al Qatawneh, I., Moussa, A., Haswa, M., Jaffal, Z., & Barafi, J. (2023). Artificial Intelligence Crimes. Academic Journal of Interdisciplinary Studies, 12(1), 143-150. https://doi.org/10.36941/ajis-2023-0012
  • Anadolu Ajansı. (2023). TPAO’dan sahte reklam uyarısı—Son Dakika Türkiye Haberleri | NTV Haber. NTV. https://www.ntv.com.tr/turkiye/tpaodan-sahte-reklam-uyarisi,45NQCmFgIEKiJSQr_nC7vw
  • Anıkaydın, İ. (2022). Deepfake Uygulamalarının Hukuki Boyutu. Düzce Üniversitesi Sosyal Bilimler Dergisi, 12(2), 736-747. https://doi.org/10.55179/dusbed.1131728
  • Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 11(1), Article 1. https://doi.org/10.56701/shd.1293642
  • Bennett Moses, L., & Chan, J. (2014). Using Big Data for Legal and Law Enforcement Decisions: Testing the New Tools (SSRN Scholarly Paper 2513564). https://papers.ssrn.com/abstract=2513564
  • Bennett Moses, L., & Chan, J. (2016). Algorithmic Prediction in Policing: Assumptions, Evaluation, and Accountability (SSRN Scholarly Paper 3742541). Social Science Research Network. https://doi.org/10.2139/ssrn.3742541
  • Berk, M. E. (2020). Dijital Çağın Yeni Tehlikesi “Deepfake”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1-1. https://doi.org/10.26466/opus.683819
  • Berk, R. A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology, 4(Volume 4, 2021), 209-237. https://doi.org/10.1146/annurev-criminol-051520-012342 Broadhurst, R., Maxim, D., Brown, P., & Trivedi, H. (2019). Artificial Intelligence and Crime: A Report for the Korean Institute of Criminology.
  • Brown, S. (2006). The criminology of hybrids: Rethinking crime and law in technosocial networks. Theoretical Criminology, 10(2), 223-244. https://doi.org/10.1177/1362480606063140
  • Butz, M. V. (2021). Towards Strong AI. KI - Künstliche Intelligenz, 35(1), 91-101. https://doi.org/10.1007/s13218-021-00705-x
  • Campedelli, G. M. (2021). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science, 4(2), 503-530. https://doi.org/10.1007/s42001-020-00082-9
  • Can, M. (2025). SON DAKİKA: Yapay zeka ile milyonluk vurgun! Akılalmaz tezgah: Deepfake ile oluşturup dolandırdılar. Sabah. https://www.sabah.com.tr/galeri/yasam/son-dakika-yapay-zeka-ile-milyonluk-vurgun-akilalmaz-tezgah-deepfake-ile-olusturup-dolandirdilar
  • Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588-608. https://doi.org/10.2307/2094589
  • Cohen-Almagor, R. (2011). Internet History. International Journal of Technoethics, 2(2), 45-64.
  • Dakalbab, F., Abu Talib, M., Abu Waraga, O., Bou Nassif, A., Abbas, S., & Nasir, Q. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
  • Damar, M., Özen, A., Çakmak, Ü., Özoğuz, E., & Erenay, F. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8, 83-106. https://doi.org/10.61969/jai.1512906
  • Değirmenci, O. (2021). Yapay Zekâ ve Ceza Hukuku Sorumluluğu. Ardahan Barosu Dergisi, Eylül, 74-88.
  • Demircan, B. (2021). “Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi. TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.969162
  • Gönenç, E. Ö. (2003). İnternet ve Türkiye’deki Gelişimi. İletişim Fakültesi Dergisi, 16, 87-98.
  • Güngör, M. (2024). Yapay Zekânın Suç Potansiyelinin Değerlendirilmesi. Bilişim Hukuku Dergisi, 6(2), 620-660. https://doi.org/10.55009/bilisimhukukudergisi.1498256
  • Hallevy, G. (2010). The Criminal Liability of Artificial Intelligence Entities—From Science Fiction to Legal Social Control. Akron Intellectual Property Journal, 4, 171-199.
  • Hallevy, G. (2015). Liability for Crimes Involving Artificial Intelligence Systems. Springer.
  • Hallevy, G. (2018). Yapay Zekaya Sahip Varlıkların Cezai Sorumluluğu-Bilim Kurgudan Yasal Toplumsal Denetime (M. Fincan, Çev.). Küresel Bakış, 8(24), 111-142.
  • Hasan, M. N. (2022). Applicability of Routine Activity Theory: An analysis based on cybercrime in Bangladesh (SSRN Scholarly Paper 4265385). Social Science Research Network. https://doi.org/10.2139/ssrn.4265385
  • Hawdon, J., Parti, K., & Dearden, T. E. (2020). Cybercrime in America amid COVID-19: The Initial Results from a Natural Experiment. American Journal of Criminal Justice: AJCJ, 45(4), 546-562. https://doi.org/10.1007/s12103-020-09534-4
  • Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture: An International Journal, 17(2), 209-233. https://doi.org/10.1177/1741659020917434
  • Heather, C., & Magramo, K. (2024, Şubat 4). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk
  • Holt, T. J., & Bossler, A. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1-25. https://doi.org/10.1080/01639620701876577
  • İletişim Başkanlığı. (2023). Sahte reklam filmleri ve kısa mesaj dolandırıcılıkları hakkında açıklama [Türkiye Cumhuriyeyti Cumhurbaşkanlığı İletişim Başkanlığı]. https://www.iletisim.gov.tr/turkce/Haberler/detay/cumhurbaskani-erdoganin-goruntulerinin-kullanildigi-sahte-reklam-filmi-hakkinda-aciklama/
  • Karabal, A. (2023). Yapay Zekada Hukuk İhlalleri. MetaZihin: Yapay Zeka ve Zihin Felsefesi Dergisi, 6(2), Article 2. https://doi.org/10.51404/metazihin.1269258
  • Karakoç Keskin, E. (2025). Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1557154
  • Kasperkevic, J. (2015, Nisan 22). Swiss police release robot that bought ecstasy online. The Guardian. https://www.theguardian.com/world/2015/apr/22/swiss-police-release-robot-random-darknet-shopper-ecstasy-deep-web
  • Khan, C. (2023). The Future of Criminology: Exploring Emerging Trends and Challenges. Social Science Review Archives, 1(1), Article 1.
  • Kigerl, A. (2012). Routine Activity Theory and the Determinants of High Cybercrime Countries. Soc. Sci. Comput. Rev., 30(4), 470-486. https://doi.org/10.1177/0894439311422689
  • Kim, S., Joshi, P., Kalsi, P. S., & Taheri, P. (2018). Crime Analysis Through Machine Learning. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 415-420. https://doi.org/10.1109/IEMCON.2018.8614828
  • Lee, D. (2016, Mart 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
  • Mankoo, S. S. (2023). DeepFakes- The Digital Threat in the Real World. Gyan Management Journal, 17(1), 71-77. https://doi.org/10.48165/gmj.2022.17.1.8
  • Marcum, C., Higgins, G., & Ricketts, M. (2010). Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory. Deviant Behavior, 31, 381-410. https://doi.org/10.1080/01639620903004903
  • Neff, G., & Nagy, P. (2016). Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication, 10, 4915-4931.
  • Okuyucu Ergün, G. (2023). Machina Sapiens. Ankara Üniversitesi Hukuk Fakültesi Dergisi, 72(2), Article 2. https://doi.org/10.33629/auhfd.1288894
  • O’Neill, P. H. (2015). Drug-buying robot arrested in Switzerland. daily dot. https://www.dailydot.com/unclick/random-darknet-shopper-seized/
  • Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 6(13), Article 13. https://doi.org/10.37679/trta.1002526
  • Pagallo, U. (2011). Robots of Just War: A Legal Perspective. Philosophy and Technology, 24(3), 307-323. https://doi.org/10.1007/s13347-011-0024-9
  • Pagallo, U. (2017). AI and bad robots: The criminology of automation. İçinde The Routledge Handbook of Technology, Crime and Justice (ss. 643-653). https://doi.org/10.4324/9781315743981
  • Pratt, T., Holtfreter, K., & Reisig, M. (2010). Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory. Journal of Research in Crime and Delinquency, 47, 267-296. https://doi.org/10.1177/0022427810365903
  • Reyns, B. (2013). Online Routines and Identity Theft Victimization Further Expanding Routine Activity Theory beyond Direct-Contact Offenses. Journal of Research in Crime and Delinquency, 50, 216-238. https://doi.org/10.1177/0022427811425539
  • Roitblat, H. (2025). Some things to know about achieving artificial general intelligence (arXiv:2502.07828). arXiv. https://doi.org/10.48550/arXiv.2502.07828
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal, 32(4), 339. https://doi.org/10.4103/tcmj.tcmj_71_20
  • Tseng, P. (2018). What Can The Law Do About ‘Deepfake’? [Litigation and Intellectual Property Bulletin]. McMillan. https://mcmillan.ca/insights/what-can-the-law-do-about-deepfake/
  • Tufan, B. N. (2025). YAPAY ZEKÂ VE SUÇ: GELECEK AÇISINDAN HUKUKSAL VE ETİK TEHDİTLER. Medeniyet Kültürel Araştırmalar Belleteni, 4(7), Article 7. https://doi.org/10.60051/medbel.1585638
  • Türk Ceza Kanunu, 5237 § 10 (2004).
  • Ulusoy, H., & İlhan, Ç. K. (2025). Siyasal İletişimde Yapay Zekâ Etkisi ve Deepfake (Derin Sahte) Dezenformasyonu: 2024 ABD Başkanlık Seçimleri Örneği. TRT Akademi, 10(23), Article 23. https://doi.org/10.37679/trta.1563828
  • Vaccari, C., & Chadwick, A. (2024). Deepfake ve Dezenformasyon: Sentetik Siyasi Videoların Yanıltma, Belirsizlik ve Haberlere Duyulan Güven Üzerindeki Etkisini Araştırma. Yeni Medya, 17, Article 17.
  • Yar, M. (2005). The Novelty of ‘Cybercrime’An Assessment in Light of Routine Activity Theory. European Journal of Criminology, 2, 407-427. https://doi.org/10.1177/147737080556056
There are 58 citations in total.

Details

Primary Language Turkish
Subjects Sociology (Other)
Journal Section Research Article
Authors

Ayşe Mahinur Tezcan 0000-0002-9202-5648

Early Pub Date October 12, 2025
Publication Date October 17, 2025
Submission Date August 31, 2025
Acceptance Date September 24, 2025
Published in Issue Year 2025 Volume: 9 Issue: 3

Cite

APA Tezcan, A. M. (2025). RUTİN AKTİVİTE TEORİSİ (RAT) BAĞLAMINDA YAPAY ZEKÂ VE SUÇ. Uluslararası Toplumsal Bilimler Dergisi, 9(3), 272-292.