# Founding The Domain of AI Forensics

arXiv: https://arxiv.org/abs/1912.06497 · HTML: https://mlsanity.com/paper/1912.06497/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Dec 2019.

## Built on by (most cited first, 5 of 5)

- [Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClaw](https://mlsanity.com/paper/2604.05589/) (2026)
- [XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics](https://mlsanity.com/paper/2402.02452/) (2024)
- [Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study](https://mlsanity.com/paper/2412.01363/) (2024)
- [Model Forensics in AI-Native Wireless Networks: Taxonomy, Applications, and Case Study](https://mlsanity.com/paper/2605.14387/) (2026)
- [AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems](https://mlsanity.com/paper/2608.03520/) (2026)

## 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.