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Algorithm Tyranny: A Socio-Technical Analysis of the Individual’s Vulnerability in the Digital World

Yıl 2024, Sayı: 15, 87 - 114, 31.12.2024
https://doi.org/10.53791/imgelem.1498729

Öz

The ‘digital world’ refers to an environment different from the physical world, shaped by the widespread use of digital technologies and the Internet. The digital world provides a rich ground for the development and application of artificial intelligence with its vast data stacks and communication networks. Algorithms, one of the basic working principles of artificial intelligence, are a set of procedures or rules that are followed step by step to solve a specific problem or perform a task. Algorithms are the hidden engines behind many digital services, applications and platforms. Nevertheless, ‘Algorithm tyranny’ is a concept that refers to the excessive and uncontrolled use of algorithms in the digital world, giving them a great influence and control over people’s daily lives and decisions. This concept emphasises how algorithms and artificial intelligence have become dominant in many areas of our lives and the possible negative consequences of this situation. Because algorithms collect and analyse users’ data. However, the constant monitoring and evaluation of algorithms restricts the freedom of individuals and weakens their ability to make their own decisions. In this respect, algorithms can control the flow of information and direct public opinion. From this point of view, the aim of this study is to discuss the growing impact of biases in these systems on social structures as the integration of algorithms into social systems increases. For this purpose, after a conceptual and theoretical literature review on artificial intelligence and algorithms, a critical socio-technical analysis will be made on the phenomenon of ‘algorithm tyranny’.

Proje Numarası

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Kaynakça

  • Aletras, N., Tsarapatsanis, D., Preoţiuc-Pietro, D. et al. (2016). Predicting judicial decisions of the European court of human rights: A natural language processing perspective, PeerJ Computer Science, 2, 1-19. Doi: https://doi.org/10.7717/peerj-cs.93
  • Bainbridge, W., Brent, E., Carley, K. et al. (1994). Artificial Social Intelligence, Annual Review of Sociology, 20(1), 407–436. Doi: https://doi.org/10.1146/annurev.so.20.080194.002203
  • Bissell, D., Birtchnell, T., Elliott, A. et al. (2020). Autonomous automobilities: The social impacts of driverless vehicles, Current Sociology, 68(1), 116–134. Doi: https://doi.org/10.1177/0011392118816743
  • Bloomfield, B. P. (1987). The culture of artificial intelligence, B. P. Bloomfield (Ed.), The question of artificial intelligence: Philosophical and sociological perspectives içinde (59-105), Croom Helm. Doi: https://doi.org/10.4324/9780429505331
  • Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence, AI Magazine, 24(4), 53-60. Doi: https://doi.org/10.1609/aimag.v26i4.1848
  • Byrne, M. D. (2012). Unified theories of cognition, Wiley Interdisciplinary Reviews: Cognitive Science, 3(4), 431-438. Doi: https://doi.org/10.1002/wcs.1180
  • Carley, K. M. (1986). An approach for relating social structure to cognitive structure, The Journal of Mathematical Sociology, 12(2), 137-189. Doi: https://doi.org/10.1080/0022250X.1986.9990010
  • Carley, K. M. (1996). Artificial intelligence within sociology, Sociological Methods and Research, 25(1), 3-30. Doi: https://doi.org/10.1177/0049124196025001001
  • Cath, C., Wachter, S., Mittelstadt, B. et al. (2018). Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach, Science and Engineering Ethics, 24(2), 505-528. Doi: https://doi.org/10.1007/s11948-017-9901-7
  • Crawford, K. (2016). Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics, Science Technology and Human Values, 41(1), 77-92. Doi: https://doi.org/10.1177/0162243915589635
  • Diakopoulos, N. (2015). Algorithmic Accountability: Journalistic investigation of computational power structures, Digital Journalism, 3(3), 398-415. Doi: https://doi.org/10.1080/21670811.2014.976411
  • Dwivedi, Y. K., Hughes, L., Ismagilova, E. et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy, International Journal of Information Management, 57, 1-47. Doi: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  • Eynon, R., Young, E. (2021). Methodology, Legend, and Rhetoric: The Constructions of AI by Academia, Industry, and Policy Groups for Lifelong Learning, Science Technology and Human Values, 46(1), 166-191. Doi: https://doi.org/10.1177/0162243920906475
  • Fioriglio, G. (2015). Freedom, Authority And Knowledge On Line: The Dictatorship Of The Algorithm, Revista Internacional De Pensamiento Politico - I Epoca, 10, 395-410.
  • Fleck, J. (1984). Artificial Intelligence and industrial robots: an automatic end for utopian thought?, E. Mendelsohn ve H. Nowotny (Ed.), Nineteen eighty-four: science between utopia and dystopia Sociology of the Sciences içinde (189-231), Reidel Publishing Company.
  • Furman, J., Seamans, R. (2019). AI and the economy, Innovation Policy and the Economy, 19(1), 161-191. Doi: https://doi.org/10.1086/699936
  • Kraemer, F., van Overveld, K. ve Peterson, M. (2011). Is there an ethics of algorithms? Ethics and Information Technology, 13(3), 251-260. Doi: https://doi.org/10.1007/s10676-010-9233-7
  • Letheren, K., Russell-Bennett, R. ve Whittaker, L. (2020). Black, white or grey magic? Our future with artificial intelligence, Journal of Marketing Management, 36(3–4), 216-232. Doi: https://doi.org/10.1080/0267257X.2019.1706306
  • Liu, H. Y., Maas, M., Danaher, J. et al. (2020). Artificial intelligence and legal disruption: a new model for analysis, Law, Innovation and Technology, 12(2), 205-258. Doi: https://doi.org/10.1080/17579961.2020.1815402
  • Liu, Z. (2021). Sociological perspectives on artificial intelligence: A typological reading, Sociology Compass, 15(3), 1-13. Doi: https://doi.org/10.1111/soc4.12851

Algoritma Tiranlığı: Dijital Dünyada Bireyin Savunmasızlığına Yönelik Bir Sosyo-Teknik Analiz

Yıl 2024, Sayı: 15, 87 - 114, 31.12.2024
https://doi.org/10.53791/imgelem.1498729

Öz

“Dijital dünya”, dijital teknolojilerin ve internetin yaygın kullanımı ile şekillenen, fiziksel dünyadan farklı bir ortamı ifade eder. Dijital dünya, geniş veri yığınları ve iletişim ağlarıyla yapay zekânın gelişimi ve uygulanması için zengin bir zemin sağlar. Yapay zekânın temel çalışma prensiplerinden biri olan algoritmalar, belirli bir problemi çözmek veya bir görevi gerçekleştirmek için adım adım izlenen prosedürler veya kurallar kümesidir. Algoritmalar, birçok dijital hizmetin, uygulamanın ve platformun arkasında çalışan gizli motorlardır. Buna rağmen “Algoritma tiranlığı”, dijital dünyada algoritmaların aşırı ve kontrolsüz şekilde kullanılması sonucu, insanların günlük yaşamları ve kararları üzerinde büyük bir etki ve kontrol sahibi olmalarını ifade eden bir kavramdır. Bu kavram, algoritmaların ve yapay zekânın hayatımızın birçok alanında nasıl baskın hale geldiğini ve bu durumun olası olumsuz sonuçlarını vurgular. Çünkü algoritmalar, kullanıcıların verilerini toplar ve analiz eder. Bununla beraber algoritmaların sürekli izleme ve değerlendirme yapması, bireylerin özgürlüklerini kısıtlamakta ve kendi kararlarını verme yetilerini zayıflatmaktadır. Bu yönüyle algoritmalar, bilgi akışını kontrol edebilir ve kamuoyunu yönlendirebilir. Buradan hareketle çalışmanın amacı; algoritmaların sosyal sistemlere entegrasyonu arttıkça, bu sistemlerdeki yanlılıkların sosyal yapılar üzerindeki büyüyen etkisini tartışmaktır. Bu amaçla; yapay zekâ ve algoritma kavramlarıyla ilgili kavramsal ve kuramsal literatür taramasının ardından, “algoritma tiranlığı” olgusu üzerinden eleştirel boyutta sosyo-teknik analiz yapılacaktır.

Etik Beyan

Çıkar çatışması yoktur.

Destekleyen Kurum

-

Proje Numarası

-

Teşekkür

-

Kaynakça

  • Aletras, N., Tsarapatsanis, D., Preoţiuc-Pietro, D. et al. (2016). Predicting judicial decisions of the European court of human rights: A natural language processing perspective, PeerJ Computer Science, 2, 1-19. Doi: https://doi.org/10.7717/peerj-cs.93
  • Bainbridge, W., Brent, E., Carley, K. et al. (1994). Artificial Social Intelligence, Annual Review of Sociology, 20(1), 407–436. Doi: https://doi.org/10.1146/annurev.so.20.080194.002203
  • Bissell, D., Birtchnell, T., Elliott, A. et al. (2020). Autonomous automobilities: The social impacts of driverless vehicles, Current Sociology, 68(1), 116–134. Doi: https://doi.org/10.1177/0011392118816743
  • Bloomfield, B. P. (1987). The culture of artificial intelligence, B. P. Bloomfield (Ed.), The question of artificial intelligence: Philosophical and sociological perspectives içinde (59-105), Croom Helm. Doi: https://doi.org/10.4324/9780429505331
  • Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence, AI Magazine, 24(4), 53-60. Doi: https://doi.org/10.1609/aimag.v26i4.1848
  • Byrne, M. D. (2012). Unified theories of cognition, Wiley Interdisciplinary Reviews: Cognitive Science, 3(4), 431-438. Doi: https://doi.org/10.1002/wcs.1180
  • Carley, K. M. (1986). An approach for relating social structure to cognitive structure, The Journal of Mathematical Sociology, 12(2), 137-189. Doi: https://doi.org/10.1080/0022250X.1986.9990010
  • Carley, K. M. (1996). Artificial intelligence within sociology, Sociological Methods and Research, 25(1), 3-30. Doi: https://doi.org/10.1177/0049124196025001001
  • Cath, C., Wachter, S., Mittelstadt, B. et al. (2018). Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach, Science and Engineering Ethics, 24(2), 505-528. Doi: https://doi.org/10.1007/s11948-017-9901-7
  • Crawford, K. (2016). Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics, Science Technology and Human Values, 41(1), 77-92. Doi: https://doi.org/10.1177/0162243915589635
  • Diakopoulos, N. (2015). Algorithmic Accountability: Journalistic investigation of computational power structures, Digital Journalism, 3(3), 398-415. Doi: https://doi.org/10.1080/21670811.2014.976411
  • Dwivedi, Y. K., Hughes, L., Ismagilova, E. et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy, International Journal of Information Management, 57, 1-47. Doi: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  • Eynon, R., Young, E. (2021). Methodology, Legend, and Rhetoric: The Constructions of AI by Academia, Industry, and Policy Groups for Lifelong Learning, Science Technology and Human Values, 46(1), 166-191. Doi: https://doi.org/10.1177/0162243920906475
  • Fioriglio, G. (2015). Freedom, Authority And Knowledge On Line: The Dictatorship Of The Algorithm, Revista Internacional De Pensamiento Politico - I Epoca, 10, 395-410.
  • Fleck, J. (1984). Artificial Intelligence and industrial robots: an automatic end for utopian thought?, E. Mendelsohn ve H. Nowotny (Ed.), Nineteen eighty-four: science between utopia and dystopia Sociology of the Sciences içinde (189-231), Reidel Publishing Company.
  • Furman, J., Seamans, R. (2019). AI and the economy, Innovation Policy and the Economy, 19(1), 161-191. Doi: https://doi.org/10.1086/699936
  • Kraemer, F., van Overveld, K. ve Peterson, M. (2011). Is there an ethics of algorithms? Ethics and Information Technology, 13(3), 251-260. Doi: https://doi.org/10.1007/s10676-010-9233-7
  • Letheren, K., Russell-Bennett, R. ve Whittaker, L. (2020). Black, white or grey magic? Our future with artificial intelligence, Journal of Marketing Management, 36(3–4), 216-232. Doi: https://doi.org/10.1080/0267257X.2019.1706306
  • Liu, H. Y., Maas, M., Danaher, J. et al. (2020). Artificial intelligence and legal disruption: a new model for analysis, Law, Innovation and Technology, 12(2), 205-258. Doi: https://doi.org/10.1080/17579961.2020.1815402
  • Liu, Z. (2021). Sociological perspectives on artificial intelligence: A typological reading, Sociology Compass, 15(3), 1-13. Doi: https://doi.org/10.1111/soc4.12851
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Siyaset Bilimi (Diğer)
Bölüm Makaleler
Yazarlar

Osman Sümer 0000-0002-5459-4655

Proje Numarası -
Erken Görünüm Tarihi 28 Aralık 2024
Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 10 Haziran 2024
Kabul Tarihi 3 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Sayı: 15

Kaynak Göster

APA Sümer, O. (2024). Algoritma Tiranlığı: Dijital Dünyada Bireyin Savunmasızlığına Yönelik Bir Sosyo-Teknik Analiz. İmgelem(15), 87-114. https://doi.org/10.53791/imgelem.1498729

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