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  1. Understanding Moral Responsibility in Automated Decision-Making: Responsibility Gaps and Strategies to Address Them.Andrea Berber & Jelena Mijić - 2024 - Theoria: Beograd 67 (3):177-192.
    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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  • The impact of intelligent decision-support systems on humans’ ethical decision-making: A systematic literature review and an integrated framework.Franziska Poszler & Benjamin Lange - forthcoming - Technological Forecasting and Social Change.
    With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans’ ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (IDSSs) shape humans’ ethical decision-making. (...)
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