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The Concept of Accountability in AI Ethics and Governance

In Justin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young & Baobao Zhang (eds.), The Oxford Handbook of AI Governance. Oxford University Press (2023)

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  1. Understanding Moral Responsibility in Automated Decision-Making: Responsibility Gaps and Strategies to Address Them.Andrea Berber & Jelena Mijić - forthcoming - Theoria: Beograd.
    This paper delves into the use of machine learning-based systems in decision-making processes and its implications for moral responsibility as traditionally defined. It focuses on the emergence of responsibility gaps and examines proposed strategies to address them. The paper aims to provide an introductory and comprehensive overview of the ongoing debate surrounding moral responsibility in automated decision-making. By thoroughly examining these issues, we seek to contribute to a deeper understanding of the implications of AI integration in society.
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  • Responsible AI Through Conceptual Engineering.Johannes Himmelreich & Sebastian Köhler - 2022 - Philosophy and Technology 35 (3):1-30.
    The advent of intelligent artificial systems has sparked a dispute about the question of who is responsible when such a system causes a harmful outcome. This paper champions the idea that this dispute should be approached as a conceptual engineering problem. Towards this claim, the paper first argues that the dispute about the responsibility gap problem is in part a conceptual dispute about the content of responsibility and related concepts. The paper then argues that the way forward is to evaluate (...)
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