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Binns, R. (2018). Fairness in Machine Learning: Lessons from Political Philosophy. In Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency (pp. 149-159).
https://proceedings.mlr.press/v81/binns18a.html

has been cited by the following article:

• TITLE: AI for Bathsheba Syndrome: Ethical Implications and Preventative Strategies

  AUTHORS: Prajkta Waditwar

  KEYWORDS: AI, Bathsheba Syndrome, Ethics, Leadership, Power, Unethical Behavior, Preventative Strategies, Leadership, Organizational Leadership

  JOURNAL NAME: Open Journal of Leadership, Vol.13 No.3, September 9, 2024

  ABSTRACT: Artificial Intelligence (AI) is transforming leadership and management across various sectors by enhancing decision-making, improving efficiency, and providing valuable insights. However, the integration of AI into leadership practices also raises ethical concerns, particularly related to power dynamics and accountability. This paper explores the intersection of AI and Bathsheba Syndrome, a concept that describes how successful leaders can fall prey to unethical behavior due to their power and privilege. By examining the ethical implications and potential for AI to both mitigate and exacerbate these risks, this guide aims to provide a comprehensive understanding of how AI can influence leadership ethics and propose strategies for prevention.