A new research paper proposes a framework for AI forensics, focusing on the different levels of access investigators might have to AI systems. The paper categorizes access into white-box, grey-box, and black-box, detailing how each impacts the collection, preservation, and analysis of evidence. It also introduces an 'order of volatility' for AI system components, from runtime state to training lineage, to guide post-incident investigations and identify key research challenges. AI
IMPACT This research could lead to more standardized and effective methods for investigating AI incidents, improving accountability and trust in AI systems.
RANK_REASON The cluster contains an academic paper detailing a new process model and research agenda for AI forensics.
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- AI Forensics
- arXiv
- context windows
- grey box model
- logs
- model artifacts
- retrieval stores
- runtime state
- training lineage
- white box
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