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October 16, 2025Open Access

Agents Without Agency: Anthropological and Sociological Lessons for Contemporary AI Research and Policy

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Authors

GTGreta TimaiteMCMichael Castelle

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Overview

This analysis challenges the notion of agency in AI, highlighting its relational aspect and social accountability implications.

Key Points

  • Understanding agency in AI requires recognition of its relational nature, not merely as an individual property.
  • The paper emphasizes how agency in AI models is influenced by sociotechnical contexts and social interactions.
  • Insights from linguistic anthropology and sociological theory provide a new framework for regulatory policies around AI.
  • Recognizing agency in AI may shift accountability from developers to the technology itself, complicating ethical considerations.

Cite This Study

Timaite et al. (2025) studied this question.

synapsesocial.com/papers/68f12bfb2107091eab27a4a8https://doi.org/10.1609/aies.v8i3.36733
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