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KAMU YÖNETİMİNDE ALGORİTMALARIN EGEMENLİĞİ: ALGOKRASİ VE TEHDİTLERİ

Year 2024, Volume: 6 Issue: 2, 194 - 219, 19.07.2024
https://doi.org/10.58307/kaytek.1495010

Abstract

Modern devletler işlevlerini bürokrasi aygıtı aracılığıyla yerine getirmektedir. Ancak günümüzde teknolojinin baş döndürücü bir hızla gelişmesi her şeyi dönüştürdüğü gibi bürokrasileri de dönüştürmektedir. Teknolojik gelişmelere koşut olarak gelişen makine öğrenmesi ve yapay zekâ uygulamaları kamu yönetiminde de giderek daha fazla algoritmaların hâkim olmasına neden olmaktadır. Bu nedenle bürokrasilerin algokrasiye dönüştüğü ve dönüşmeye devam edeceği iddia edilmektedir. Yeni ortaya atılan bir kavram olan algokrasi, bürokrasiden esinlenerek gücün bürolar aracılığıyla kullanmasına benzer şekilde gücün algoritmalar aracılığıyla kullanılması olarak ifade edilmektedir. Ancak yeni bir kavram olarak ortaya atılan algokrasinin bürokrasiden tamamen farklı bir kavram olup olmadığı konusu tartışmalıdır. Bu nedenle çalışmada öncelikle algokrasi kavramına açıklık getirilmektedir. Alan yazında algokrasinin sunduğu fırsatlarla ilgili çok fazla çalışma bulunmasına rağmen algokrasinin yol açtığı ve yurttaşlar için tehdit haline gelen sorunların ele alındığı çalışmalar oldukça sınırlı sayıdadır. Bu nedenle çalışmanın temel amacı algokrasinin yol açtığı tehditleri ele almak olarak belirlenmiştir. Bu çerçevede çalışmada şeffaflık sorunları başta olmak üzere ayrımcılık (tarafsızlıktan yoksun algoritmalar), kişisel mahremiyet ihlalleri, yönetimi daha fazla merkezileştirme, algoritmalara gereğinden fazla güvenme, meşruiyet ve ahlakilik sorunları gibi algokrasinin yol açtığı tehditler ele alınmaktadır. Bu tehditlerle başa çıkabilmenin hiç de kolay olmayacağı bilinmesiyle birlikte yine de çözümün mümkün olduğunu belirten çalışma birtakım önerilerde bulunarak son bulmaktadır.

Ethical Statement

Bu çalışmanın tüm hazırlanma süreçlerinde etik kurallara uyduğumu beyan ederim.

Supporting Institution

Bu çalışma için herhangi bir kuruluştan destek alınmamıştır.

References

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THE DOMINANCE OF ALGORITHMS IN PUBLIC ADMINISTRATION: ALGOCRACY AND ITS THREATS

Year 2024, Volume: 6 Issue: 2, 194 - 219, 19.07.2024
https://doi.org/10.58307/kaytek.1495010

Abstract

Modern states fulfil their functions through the bureaucratic apparatus. Today, however, the dizzying pace of technological development is transforming bureaucracies as it transforms everything. Machine learning and artificial intelligence applications, which have developed in parallel with technological developments, are increasingly dominated by algorithms in public administration. For this reason, it is claimed that bureaucracies have turned into algocracies and will continue to do so. Algocracy, a newly introduced concept, is inspired by bureaucracy and is defined as the use of power through algorithms, similar to the use of power through bureaus. However, it is debatable whether algocracy, which has been introduced as a new concept, is a completely different concept from bureaucracy. For this reason, this study first clarifies the concept of algocracy. Although there are many studies on the opportunities offered by algocracy in the literature, there is a limited number of studies on the problems caused by algocracy that become threats to citizens. For this reason, the main purpose of this study is to address the threats posed by algocracy. In this framework, the study addresses the threats posed by algocracy, such as transparency problems, discrimination (algorithms lacking objectivity), privacy violations, further centralization of governance, excessive trust in algorithms, legitimacy problems, and morality problems. The paper concludes with some recommendations, recognizing that dealing with these threats will not be easy but that solutions are possible.

References

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  • Aneesh, A. (2002). Technologically coded authority: The post-industrial decline in bureaucratic hierarchies. 7th International Summer Academy on Technology Studies, Deutschlandsberg, Austria, 27-51.
  • Aneesh, A. (2009). Global Labor: Algocratic Modes of Organization*. Sociological Theory, 27(4), 347-370. https://doi.org/https://doi.org/10.1111/j.1467-9558.2009.01352.x
  • Beckman, L., Hultin Rosenberg, J.,Jebari, K. (2022). Artificial intelligence and democratic legitimacy. The problem of publicity in public authority. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01493-0
  • Bertino, E.,Ferrari, E. (2018). Big Data Security and Privacy. In S. Flesca, S. Greco, E. MasciariveD. Saccà (Ed.), A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years (pp. 425-439). Springer International Publishing. https://doi.org/10.1007/978-3-319-61893-7_25
  • Bowker, G. C.,Star, S. L. (2000). Sorting things out: Classification and its consequences. MIT press.
  • Bullock, J., Young, M. M.,Wang, Y.-F. (2020). Artificial intelligence, bureaucratic form, and discretion in public service. Information Polity, 25, 491-506. https://doi.org/10.3233/IP-200223
  • Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 1-12. https://doi.org/10.1177/2053951715622512
  • Chomanski, B. (2022). Legitimacy and automated decisions: the moral limits of algocracy. Ethics and Information Technology, 24(3), 34. https://doi.org/10.1007/s10676-022-09647-w
  • Conway, M. E. (1968). How do committees invent. Datamation, 14(4), 28-31.
  • Criado, J. I., Valero, J.,Villodre, J. (2020). Algorithmic transparency and bureaucratic discretion: The case of SALER early warning system. Information Polity, 25, 449-470. https://doi.org/10.3233/IP-200260
  • Danaher, J. (2016). The Threat of Algocracy: Reality, Resistance and Accommodation. Philosophy & Technology, 29(3), 245-268. https://doi.org/10.1007/s13347-015-0211-1
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  • Etzioni, A.,Etzioni, O. (2017). Incorporating Ethics into Artificial Intelligence. The Journal of Ethics, 21(4), 403-418. https://doi.org/10.1007/s10892-017-9252-2
  • Felzmann, H., Fosch-Villaronga, E., Lutz, C.,Tamò-Larrieux, A. (2020). Towards Transparency by Design for Artificial Intelligence. Science and Engineering Ethics, 26(6), 3333-3361. https://doi.org/10.1007/s11948-020-00276-4
  • Floridi, L. (2012). Big Data and Their Epistemological Challenge. Philosophy & Technology, 25(4), 435-437. https://doi.org/10.1007/s13347-012-0093-4
  • Floridi, L. (2016). Mature Information Societies—a Matter of Expectations. Philosophy & Technology, 29(1), 1-4. https://doi.org/10.1007/s13347-016-0214-6
  • Flügge, A. A., Hildebrandt, T.,Møller, N. H. (2021). Street-Level Algorithms and AI in Bureaucratic Decision-Making: A Caseworker Perspective. Proc. ACM Hum.-Comput. Interact., 5(CSCW1), Article 40. https://doi.org/10.1145/3449114
  • Fortes, P. (2021). Hasta la vista, baby: reflections on the risks of algocracy, killer robots, and artificial superintelligence. Revista de la Facultad de Derecho de México, 71(279), 45-72.
  • Ganascia, J.-G. (2010). The generalized sousveillance society. Social Science Information, 49(3), 489-507. https://doi.org/10.1177/0539018410371027
  • Giest, S.,Grimmelikhuijsen, S. (2020). Introduction to special issue algorithmic transparency in government: Towards a multi-level perspective. Information Polity, 25(4), 409-417.
  • Goad, D.,Gal, U. (2018, 2018//). Understanding the Impact of Transparency on Algorithmic Decision Making Legitimacy. Living with Monsters? Social Implications of Algorithmic Phenomena, Hybrid Agency, and the Performativity of Technology, Cham . Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), 211-221. https://doi.org/10.1007/s10708-007-9111-y Grove, W. M.,Meehl, P. E. (1996). Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical–statistical controversy. Psychology, public policy, and law, 2(2), 293-323.
  • Hill, J. (2021). Syntegration against the platform: Experimentation with the Team Syntegrity protocol for viable institutional forms that counter the logic of algocracy in institutions of contemporary art Liverpool John Moores University].
  • Hill, R. K. (2016). What an Algorithm Is. Philosophy & Technology, 29(1), 35-59. https://doi.org/10.1007/s13347-014-0184-5
  • Hughes, J. (2017). Algorithms and Posthuman Governance. Journal of Posthuman Studies, 1(2), 166-184. https://doi.org/10.5325/jpoststud.1.2.0166
  • Jain, P., Gyanchandani, M.,Khare, N. (2016). Big data privacy: a technological perspective and review. Journal of Big Data, 3(1), 25. https://doi.org/10.1186/s40537-016-0059-y
  • Janssen, M.,Hoven, v. d. J. (2015). Big and Open Linked Data (BOLD) in government: A challenge to transparency and privacy? Government Information Quarterly, 32(4), 363-368. https://doi.org/https://doi.org/10.1016/j.giq.2015.11.007
  • Janssen, M.,Kuk, G. (2016). The challenges and limits of big data algorithms in technocratic governance. Government Information Quarterly, 33(3), 371-377. https://doi.org/https://doi.org/10.1016/j.giq.2016.08.011
  • Kariotis, T.,Mir, D. J. (2020). Fighting Back Algocracy: The need for new participatory approaches to technology assessment Proceedings of the 16th Participatory Design Conference 2020 - Participation(s) Otherwise - Volume 2, Manizales, Colombia. https://doi.org/10.1145/3384772.3385151
  • Katzenbach, C.,Ulbricht, L. (2019). Algorithmic governance. Internet Policy Review, 8(4), 1-18.
  • König, P. D. (2020). Dissecting the Algorithmic Leviathan: On the Socio-Political Anatomy of Algorithmic Governance. Philosophy & Technology, 33(3), 467-485. https://doi.org/10.1007/s13347-019-00363-w
  • Krishnan, M. (2020). Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning. Philosophy & Technology, 33(3), 487-502. https://doi.org/10.1007/s13347-019-00372-9
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There are 62 citations in total.

Details

Primary Language Turkish
Subjects Public Administration
Journal Section Articles
Authors

Mehmet Polat 0000-0002-7153-9738

Publication Date July 19, 2024
Submission Date June 3, 2024
Acceptance Date July 5, 2024
Published in Issue Year 2024 Volume: 6 Issue: 2

Cite

APA Polat, M. (2024). KAMU YÖNETİMİNDE ALGORİTMALARIN EGEMENLİĞİ: ALGOKRASİ VE TEHDİTLERİ. Kamu Yönetimi Ve Teknoloji Dergisi, 6(2), 194-219. https://doi.org/10.58307/kaytek.1495010