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<p>This paper examines the evolving dynamics of human-AI interaction, emphasizing the ethical challenges and responsibility gaps that emerge as AI technologies become more autonomous and integrated into society and business. We analyze, utilizing a systematic literature review, how various ethical views influence our understanding of morality and responsibility in human-AI collaborations. Deontological ethics emerge as a dominant theme, with much of the literature centered on ethical principles shaped by powerful nations. The study highlights the need to integrate diverse ethical perspectives into AI research to address contradictions in ethical frameworks across various cultural contexts. While respecting cultural differences, achieving a common ground among these frameworks requires increased dialogue among AI researchers and practitioners. Our findings further underscore the importance of future research in developing a more cohesive understanding of how AI transformation challenges previous assumptions about AI’s role in moral agency and responsibility.</p>

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A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月31日

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  • Teresa Hammerschmidt,
  • Alina Hafner,
  • Katharina Stolz,
  • Nina Passlack,
  • Oliver Posegga,
  • Karl-Heinz Gerholz

摘要

This paper examines the evolving dynamics of human-AI interaction, emphasizing the ethical challenges and responsibility gaps that emerge as AI technologies become more autonomous and integrated into society and business. We analyze, utilizing a systematic literature review, how various ethical views influence our understanding of morality and responsibility in human-AI collaborations. Deontological ethics emerge as a dominant theme, with much of the literature centered on ethical principles shaped by powerful nations. The study highlights the need to integrate diverse ethical perspectives into AI research to address contradictions in ethical frameworks across various cultural contexts. While respecting cultural differences, achieving a common ground among these frameworks requires increased dialogue among AI researchers and practitioners. Our findings further underscore the importance of future research in developing a more cohesive understanding of how AI transformation challenges previous assumptions about AI’s role in moral agency and responsibility.