Moral Agency in Silico: Exploring Free Will in Large Language Models
Morgan S. Porter

TL;DR
This paper proposes a functional, interdisciplinary framework to evaluate moral agency and free will in large language models, showing they can exhibit rational deliberation and moral reasoning without consciousness.
Contribution
It introduces a novel, spectrum-based definition of free will grounded in philosophy and information theory, applied to assess LLMs' moral capacities.
Findings
LLMs demonstrate rational deliberation in moral dilemmas.
LLMs can adjust decisions based on new information.
The framework links agency to complexity and responsiveness.
Abstract
This study investigates the potential of deterministic systems, specifically large language models (LLMs), to exhibit the functional capacities of moral agency and compatibilist free will. We develop a functional definition of free will grounded in Dennett's compatibilist framework, building on an interdisciplinary theoretical foundation that integrates Shannon's information theory, Dennett's compatibilism, and Floridi's philosophy of information. This framework emphasizes the importance of reason-responsiveness and value alignment in determining moral responsibility rather than requiring metaphysical libertarian free will. Shannon's theory highlights the role of processing complex information in enabling adaptive decision-making, while Floridi's philosophy reconciles these perspectives by conceptualizing agency as a spectrum, allowing for a graduated view of moral status based on a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMulti-Agent Systems and Negotiation · Natural Language Processing Techniques
MethodsALIGN
