Publikation:

How AI Systems Can Be Blameworthy

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2024

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Menges, Leonhard
Schulte, Peter

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Austrian Science Fund (FWF): P34851-G

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Philosophia. Springer. 2024, 52(4), S. 1083-1106. ISSN 0048-3893. eISSN 1574-9274. Verfügbar unter: doi: 10.1007/s11406-024-00779-5

Zusammenfassung

AI systems, like self-driving cars, healthcare robots, or Autonomous Weapon Systems, already play an increasingly important role in our lives and will do so to an even greater extent in the near future. This raises a fundamental philosophical question: who is morally responsible when such systems cause unjustified harm? In the paper, we argue for the admittedly surprising claim that some of these systems can themselves be morally responsible for their conduct in an important and everyday sense of the term—the attributability sense. More specifically, relying on work by Nomy Arpaly and Timothy Schroeder (In Praise of Desire, OUP 2014), we propose that the behavior of these systems can manifest their ‘quality of will’ and thus be regarded as something they can be blameworthy for. We develop this position in detail, justify some of its crucial presuppositions, and defend it against potential objections.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
100 Philosophie

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Artificial Intelligence, Robots, Blameworthiness, Responsibility, Quality of Will, Attributability, Desire

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ISO 690ALTEHENGER, Hannah, Leonhard MENGES, Peter SCHULTE, 2024. How AI Systems Can Be Blameworthy. In: Philosophia. Springer. 2024, 52(4), S. 1083-1106. ISSN 0048-3893. eISSN 1574-9274. Verfügbar unter: doi: 10.1007/s11406-024-00779-5
BibTex
@article{Altehenger2024-09Syste-70956,
  year={2024},
  doi={10.1007/s11406-024-00779-5},
  title={How AI Systems Can Be Blameworthy},
  number={4},
  volume={52},
  issn={0048-3893},
  journal={Philosophia},
  pages={1083--1106},
  author={Altehenger, Hannah and Menges, Leonhard and Schulte, Peter}
}
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