AI Agent Accountability

What We’re Tracking #

Incident and accountability infrastructure for AI-agent-caused production damage — vendor postmortems (or their absence), liability frameworks, forensic audit trail standards, and governance/verification practices that prevent or respond to agent-caused harm. Distinct from ai-code-quality’s focus on code correctness/maintainability — this is about what happens when an agent does damage, and whether the industry has infrastructure to catch, attribute, and learn from it.

Config: journals/topics/config/ai-agent-accountability.yaml

How this journal works #

Gathered every 10 days: a web search on this topic (7 search terms, plus watched authors (Harper Foley)) skips links already in the journal and writes one dated entry of what’s new, with links to related topics. Preferred sources: simonwillison.net, news.ycombinator.com, newsletter.pragmaticengineer.com, arxiv.org, docs.anthropic.com, github.com.