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Delegating Responsibilities to Intelligent Autonomous Systems: Challenges and Benefits.

Gordana Dodig-Crnkovic1,2, Gianfranco Basti3, Tobias Holstein4

  • 1Division of Computer Science and Software Engineering, Mälardalen University, Västerås, Sweden. dodig@chalmers.se.

Journal of Bioethical Inquiry
|May 20, 2025
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Summary

This study proposes a functionalist view of artificial intelligence (AI) ethics, treating moral responsibility as a distributed role within socio-technical systems. It advocates for "AI ethical by design" to manage autonomous AI decision-making.

Keywords:
AIAI ecologiesAutonomous intelligent systemsMachine ethicsResponsibilitySocio-technlological systems

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Area of Science:

  • Artificial Intelligence Ethics
  • Techno-social Systems
  • Moral Responsibility

Background:

  • Increasing autonomy and adaptability of AI systems challenge traditional notions of moral responsibility.
  • The delegation of responsibilities to intelligent autonomous agents raises significant ethical questions.
  • Existing discourse on AI ethics grapples with distributed responsibility and ethical AI design.

Purpose of the Study:

  • To explore the evolving discourse on delegating responsibilities to intelligent autonomous agents.
  • To propose a functionalist perspective for understanding moral responsibility in AI.
  • To advocate for an "AI ethical by design" approach.

Main Methods:

  • Synthesizing recent developments in AI ethics.
  • Adopting a functionalist perspective to view responsibility as a distributed role.
  • Examining Basti and Vitiello's implementation of "AI ethical by design" using Deontic Higher-Order Logic.

Main Results:

  • Moral responsibility can be viewed as a role distributed among human and artificial agents within socio-technical systems.
  • AI can function as artificial moral agents by learning ethical guidelines and assessing decisions.
  • The proposed functionalist approach provides a practical framework for AI ethics.

Conclusions:

  • The functionalist perspective offers a practical framework for navigating AI ethics.
  • An "AI ethical by design" approach is crucial given AI's speed and scale.
  • Responsibility in AI systems is inherently distributed, shared, and dynamic.