Participatory Management Can Help AI Ethics Adhere to the Social Consensus
Mahmut Özer, Matjaz Perc, Hayri Eren SunaArtificial Intelligence (AI) is increasingly pervasive, significantly altering social structures, cultural dynamics, and labor markets. The rapid growth of this ecosystem has sparked worldwide debates about AI’s challenges, including its role in reinforcing biases and social inequalities, ignoring societal values, and impacting diverse sectors like genetics, drug production, defense, and democratic processes. This study examines AI ethics through the social consensus framework, proposing participatory management as a crucial approach to address these challenges. The methodology spans the entire AI lifecycle, advocating for inclusive practices from the design stage to implementation, monitoring, and control. The participatory management model is structured in three phases: Stakeholder Engagement, which involves active participation from diverse stakeholders in developing AI systems, ensuring a range of perspectives in design, modeling, and implementation; Monitoring and Alignment, which focuses on the continuous observation of AI systems’ interaction with their environments, and Macro-level Impact Analysis, which looks at the broader societal impacts of the AI ecosystem, assessing its influence on various sectors like education, culture, health, and safety. This study underscores the importance of a collaborative, inclusive approach in AI development and management, emphasizing the need to align AI advancements with ethical principles and societal well-being.
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APA
Özer, M., Perc, M., & Suna, H.E. (2024). Participatory Management Can Help AI Ethics Adhere to the Social Consensus. İstanbul Üniversitesi Sosyoloji Dergisi, 44(1), 221-238. https://doi.org/10.26650/SJ.2024.44.1.0001
AMA
Özer M, Perc M, Suna H E. Participatory Management Can Help AI Ethics Adhere to the Social Consensus. İstanbul Üniversitesi Sosyoloji Dergisi. 2024;44(1):221-238. https://doi.org/10.26650/SJ.2024.44.1.0001
ABNT
Özer, M.; Perc, M.; Suna, H.E. Participatory Management Can Help AI Ethics Adhere to the Social Consensus. İstanbul Üniversitesi Sosyoloji Dergisi, [Publisher Location], v. 44, n. 1, p. 221-238, 2024.
Chicago: Author-Date Style
Özer, Mahmut, and Matjaz Perc and Hayri Eren Suna. 2024. “Participatory Management Can Help AI Ethics Adhere to the Social Consensus.” İstanbul Üniversitesi Sosyoloji Dergisi 44, no. 1: 221-238. https://doi.org/10.26650/SJ.2024.44.1.0001
Chicago: Humanities Style
Özer, Mahmut, and Matjaz Perc and Hayri Eren Suna. “Participatory Management Can Help AI Ethics Adhere to the Social Consensus.” İstanbul Üniversitesi Sosyoloji Dergisi 44, no. 1 (Dec. 2024): 221-238. https://doi.org/10.26650/SJ.2024.44.1.0001
Harvard: Australian Style
Özer, M & Perc, M & Suna, HE 2024, 'Participatory Management Can Help AI Ethics Adhere to the Social Consensus', İstanbul Üniversitesi Sosyoloji Dergisi, vol. 44, no. 1, pp. 221-238, viewed 23 Dec. 2024, https://doi.org/10.26650/SJ.2024.44.1.0001
Harvard: Author-Date Style
Özer, M. and Perc, M. and Suna, H.E. (2024) ‘Participatory Management Can Help AI Ethics Adhere to the Social Consensus’, İstanbul Üniversitesi Sosyoloji Dergisi, 44(1), pp. 221-238. https://doi.org/10.26650/SJ.2024.44.1.0001 (23 Dec. 2024).
MLA
Özer, Mahmut, and Matjaz Perc and Hayri Eren Suna. “Participatory Management Can Help AI Ethics Adhere to the Social Consensus.” İstanbul Üniversitesi Sosyoloji Dergisi, vol. 44, no. 1, 2024, pp. 221-238. [Database Container], https://doi.org/10.26650/SJ.2024.44.1.0001
Vancouver
Özer M, Perc M, Suna HE. Participatory Management Can Help AI Ethics Adhere to the Social Consensus. İstanbul Üniversitesi Sosyoloji Dergisi [Internet]. 23 Dec. 2024 [cited 23 Dec. 2024];44(1):221-238. Available from: https://doi.org/10.26650/SJ.2024.44.1.0001 doi: 10.26650/SJ.2024.44.1.0001
ISNAD
Özer, Mahmut - Perc, Matjaz - Suna, HayriEren. “Participatory Management Can Help AI Ethics Adhere to the Social Consensus”. İstanbul Üniversitesi Sosyoloji Dergisi 44/1 (Dec. 2024): 221-238. https://doi.org/10.26650/SJ.2024.44.1.0001