A three-dimensional typology of agency for advanced AI systems
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
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 agentic systems, no framework exists to address the question of the type of agency instantiated by advanced AI systems, particularly when considering non-moral forms of agency. Based on established theoretical positions in philosophy, ethics, legal theory and sociology, we develop a typology of agency for frontier AI systems consisting of three dimensions: the nature of agency (moral or legal), its mode (individual or collective) and its locus (human or non-human). Combining these dimensions produces eight possible instantiations of agency, which we classify as conventional, contested or controversial. The typology separates legal from moral agency and thereby creates conceptual space for considering individual, legal, non-human agency without presupposing that advanced AI systems are moral agents. We argue that this distinction is increasingly relevant where instrumental goal pursuit complicates the attribution of AI actions to particular human actors.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 21 of its 76 references that are in the map. First posted on arXiv 20 Aug 2026.
Builds on
21 of 76 references.
Closest ancestors · 4
Same direction, newest first
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- 2023ProAgent: Building Proactive Cooperative Agents with Large Language Models22 Aug
Other references · 17
- 2020Artificial Intelligence, Values and Alignmentcited by 448
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- 2024AI Sandbagging: Language Models can Strategically Underperform on Evaluationscited by 145
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- 2024Self-Improvement in Language Models: The Sharpening Mechanismcited by 104
- 2024Strong and weak alignment of large language models with human valuescited by 27
- 2023Deceptive Alignment Monitoringcited by 14
- 2023Coordinated pausing: An evaluation-based coordination scheme for frontier AI developerscited by 13
- 2024The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignmentcited by 13
- 2023A Review of the Evidence for Existential Risk from AI via Misaligned Power-Seekingcited by 8
5 more
- 2024A Survey on Human-AI Collaboration with Large Foundation Modelscited by 7
- 2024Transforming Agency. On the mode of existence of Large Language Modelscited by 7
- 2025Self-Improvement in Multimodal Large Language Models: A Surveycited by 6
- 2026Mitigating loss of control in advanced AI systems through instrumental goal trajectoriescited by 1
- 2026Are we Doomed to an AI Race? Why Self-Interest Could Drive Countries Towards a Moratorium on Superintelligencecited by 1
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