A Category Theory Account of AI Identity
arXiv:2607.00220v2 Announce Type: replace-cross Abstract: Artificial intelligence (AI) systems are routinely modified after deployment through retraining and changes in their environments. These transformations raise a metaphysical question: under what conditions does an AI system remain the same system over time or across deployments? Earlier work formulates synchronic and diachronic identity propositionally, by relating identity within a fixed AI system type to equality of trustworthiness leve
Record details
Published: 4 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Environment
Retrieved: 4 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
A Category Theory Account of AI Identity
arXiv · 30 June 2026
A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance
arXiv cs.CY · 20 July 2026
A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance
arXiv · 17 July 2026
High-Risk AI Systems and the Problem of Identity in the European AI Act
arXiv · 17 April 2026
A Contractualist Argumentation Framework for Moral Decision-Making
arXiv cs.CY · 4 August 2026
Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026)
arXiv cs.CY · 4 August 2026
How to cite this record
ethics.ai (4 August 2026), “A Category Theory Account of AI Identity,” evidence record 15850, https://ethics.ai/record/15850 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.