A position paper arguing that investigator access should be the primary organizing axis for AI forensics, with a process model matrix, an order of volatility, and a research agenda.
Founding The Domain of AI Forensics
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abstract
With the widespread integration of AI in everyday and critical technologies, it seems inevitable to witness increasing instances of failure in AI systems. In such cases, there arises a need for technical investigations that produce legally acceptable and scientifically indisputable findings and conclusions on the causes of such failures. Inspired by the domain of cyber forensics, this paper introduces the need for the establishment of AI Forensics as a new discipline under AI safety. Furthermore, we propose a taxonomy of the subfields under this discipline, and present a discussion on the foundational challenges that lay ahead of this new research area.
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AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems
A position paper arguing that investigator access should be the primary organizing axis for AI forensics, with a process model matrix, an order of volatility, and a research agenda.