Founding The Domain of AI Forensics

AI failures require systematic investigation methods: Just as cyber forensics investigates digital crimes, the paper argues that AI system failures—particularly in critical technologies—need rigorous technical investigations that produce "legally acceptable and scientifically indisputable findings," establishing a new discipline called AI Forensics to ensure accountability.

AI Forensics should be part of broader AI safety efforts: The paper positions AI Forensics as a subdomain within AI safety, suggesting that understanding why AI systems fail is a crucial component of making AI systems more trustworthy and responsible.

A new specialized field is needed: The paper proposes establishing a formal taxonomy of subfields within AI Forensics, indicating that investigating AI failures is complex enough to warrant its own dedicated research area with specialized methods and expertise.

Foundational challenges remain unsolved: The paper identifies that significant foundational challenges still need to be addressed before AI Forensics can be fully established, suggesting this is an emerging field still in early stages of development.

Critical technologies demand investigation standards: By emphasizing AI's integration into "critical technologies," the paper underscores that failures in high-stakes applications (healthcare, autonomous vehicles, etc.) require the same level of rigorous, defensible investigation that legal and scientific standards demand.