{
  "id": 376,
  "url": "https://arxiv.org/abs/2607.00220v1",
  "title": "A Category Theory Account of AI Identity",
  "summary": "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 levels. Such criteria specify when identity statements are tru",
  "authors": "Andrea Ferrario",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-30T21:54:36.000Z",
  "fetched_at": "2026-07-14T14:14:28.438Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/376",
  "original_url": "https://arxiv.org/abs/2607.00220v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}