Founding The Domain of AI Forensics
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Dec 2019.
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Citing papers per year: 2024: 2; 2025: 0; 2026: 2.
4 papers.
- 2026Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClawcited by 2
- 2024XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensicscited by 1
- 2024Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Studycited by 0
- 2026AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systemscited by 0
- 2026AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems4 Aug 2026
- 2026Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClaw7 Apr 2026
- 2024Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study2 Dec 2024
- 2024XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics4 Feb 2024