Delegating Responsibilities to Intelligent Autonomous Systems: Challenges and Benefits.

As AI systems increasingly operate with autonomy and adaptability, the traditional boundaries of moral responsibility in techno-social systems are being challenged. This paper explores the evolving discourse on the delegation of responsibilities to intelligent autonomous agents and the ethical impli...

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Publicado en:Journal of Bioethical Inquiry Vol. 22; no. 3; pp. 507 - 515
Autores principales: Dodig-Crnkovic, Gordana, Basti, Gianfranco, Holstein, Tobias
Formato: questions and answers review Journal Article
Publicado: Springer Nature Sep2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2025
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      pub: Springer Nature
      place: New York, New York
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        atl: Delegating Responsibilities to Intelligent Autonomous Systems: Challenges and Benefits.
      aug:
        au:
          Dodig-Crnkovic, Gordana
          Basti, Gianfranco
          Holstein, Tobias
        affil: https://ror.org/033vfbz75 Division of Computer Science and Software Engineering, Mälardalen University, Västerås, Sweden
      sug:
        subj:
          Artificial Intelligence Ethical Issues
          Social Responsibility Ethical Issues
          Decision Making, Ethical
          Delegation of Authority
          Community Role
          Machine Learning
          Practice Guidelines
          Ecosystem
          Bioethics
          Relational Autonomy
          Morals
      ab: As AI systems increasingly operate with autonomy and adaptability, the traditional boundaries of moral responsibility in techno-social systems are being challenged. This paper explores the evolving discourse on the delegation of responsibilities to intelligent autonomous agents and the ethical implications of such practices. Synthesizing recent developments in AI ethics, including concepts of distributed responsibility and ethical AI by design, the paper proposes a functionalist perspective as a framework. This perspective views moral responsibility not as an individual trait but as a role within a socio-technical system, distributed among human and artificial agents. As an example of "AI ethical by design," we present Basti and Vitiello's implementation. They suggest that AI can act as artificial moral agents by learning ethical guidelines and using Deontic Higher-Order Logic to assess decisions ethically. Motivated by the possible speed and scale beyond human supervision and ethical implications, the paper argues for "AI ethical by design," while acknowledging the distributed, shared, and dynamic nature of responsibility. This functionalist approach offers a practical framework for navigating the complexities of AI ethics in a rapidly evolving technological landscape.
      pubtype: Academic Journal
      doctype:
        questions and answers
        review
        Journal Article
      ougenre: Article
    language: English
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