Methodological framework reveals an incident reconstruction model for autonomous AI systems, highlighting standardized evidence profiles and containment strategies.
AI Forensic Readiness v0.1 proposes a working practitioner model for reconstructing, attributing, containing, validating, and recovering from consequential actions performed or influenced by autonomous AI systems. The discussion draft introduces a six-question investigation model, a minimum viable evidence profile, the AI Incident Reconstruction Graph, dependency-aware containment, verifiable revocation, reversibility classes, and a six-level readiness maturity model. This release is intended for controlled testing and public review and is not presented as a formal standard. Public review is open through October 17, 2026:https://github.com/Scoston/ai-forensic-readiness/issues/1 Licensing: specification prose, explanatory materials, assessments, and diagrams are licensed under CC BY 4.0. Schemas, examples, and code are licensed under Apache License 2.0.
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Stephen Coston Jr. (2026) studied this question.
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