New Typology Defines AI Agency Across Moral, Legal, and Locus Dimensions.

Willem Fourie· August 21, 2026 View original

Key takeaways

  • A new three-dimensional typology clarifies AI agency: moral/legal, individual/collective, human/non-human.
  • The framework identifies eight types of agency, categorized as conventional, contested, or controversial.
  • Separating legal from moral agency is crucial for understanding AI's role without assuming moral personhood.
  • This distinction is increasingly relevant for attributing AI actions and establishing accountability.

Who benefits

LegalGovernmentEthics & ComplianceTechnology

Summary

Researchers developed a three-dimensional typology for AI agency, distinguishing between moral and legal agency, individual and collective modes, and human and non-human loci. This framework clarifies how different forms of agency can be attributed to advanced AI systems, particularly separating legal from moral considerations.

Current research on the agency of advanced AI systems often focuses on normative concepts or highly agentic systems, lacking a comprehensive framework to categorize the diverse types of agency AI might exhibit, especially beyond moral considerations. To address this gap, a new typology has been developed, drawing on established theories from philosophy, ethics, legal theory, and sociology. This framework defines AI agency across three critical dimensions: the nature of agency (moral or legal), its mode (individual or collective), and its locus (human or non-human). By combining these dimensions, the typology identifies eight possible instantiations of agency, classifying them as conventional, contested, or controversial. A key contribution is the clear separation of legal from moral agency, which creates conceptual space to consider individual, legal, non-human agency without presuming that advanced AI systems are moral agents. This distinction is becoming increasingly vital as AI's instrumental goal pursuit complicates the attribution of actions to specific human actors, providing a clearer lens for policy-makers and developers to understand and regulate AI behavior.

Why it matters

This typology provides a crucial framework for understanding and discussing the complex implications of advanced AI, particularly for legal, ethical, and governance professionals grappling with accountability and responsibility in AI-driven systems.

How to implement this in your domain

  1. 1Utilize the typology to analyze and categorize the potential agency of AI systems being developed or deployed within an organization.
  2. 2Inform legal and ethical guidelines for AI development by considering the distinct dimensions of moral, legal, individual, collective, human, and non-human agency.
  3. 3Integrate this framework into risk assessment processes for AI systems to identify potential areas of contested or controversial agency.
  4. 4Educate stakeholders on the nuanced understanding of AI agency to foster more informed discussions about AI governance and regulation.

Original post by Willem Fourie

"arXiv:2608.20041v1 Announce Type: new Abstract: Research on the agency of advanced artificial intelligence (AI) systems focuses on agency as a normative concept and on the agency of particularly agentic AI systems. While recent work also focuses on the different profiles of agent…"

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