PhilArchive
open access
Towards a Middle-Ground Theory of Agency for Artificial Intelligence
The recent rise of artificial intelligence (AI) systems has led to intense discussions on their ability to achieve higher-level mental states or the ethics of their implementation. One question, which so far has been neglected in the literature, is the question of whether AI systems are capable of action. While the philosophical tradition appeals to intentional mental states, others have argued for a widely inclusive theory of agency. In this paper, I will argue for a gradual concept of agency because both traditional concepts of agency fail to differentiate the agential capacities of AI systems.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Criterion of Loss: Why AI Cannot Yet Be a Moral Subject#225444
- The Agency Error in AI Governance: Coherent Output, Constraint, and the Misclassification of Artificial Systems#693380
- Self-Regulating Cognitive Architecture (SRCA): A Theoretical Framework for Artificial Awareness#717756
- Polycontextural Agent Architectures for Delegated AI: Contextural Accountability Beyond Monolithic AGI#690971
- Taxonomy of Preference Without Will - Simulated Choice in Machine Minds: AI, AGI, and Beyond#91521
Record · ID 749198
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive