Concern 880 · Working draft · editorial review in progress
Chain-of-custody for AI-generated evidence
Chain of custody for AI-related evidence is the record of how material was collected, stored, transferred and changed, including any model-generated versions.
Understanding the concern
A file may pass through several people and tools before it reaches an investigator or court. If those steps are undocumented, it becomes difficult to tell whether a difference reflects the original event, an ordinary edit or a model's invented detail. Preserving an original and tracking derived versions helps separate these questions.
NIST guidance explains why digital evidence needs careful preservation. Think of a parcel with a record of every handoff, plus a note whenever its contents are copied or altered. A complete chain can support confidence that a file is the same one collected. It cannot prove that a synthetic scene depicts a real event; provenance and truth are different matters.
An example
An investigator preserves the original audio separately from an AI-cleaned copy and records the tool and processing steps used.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
- Provenance
- The history of information: where it came from and how it has been handled or changed.
- Synthetic
- Made by a computer or another artificial process rather than directly recorded from the event being described.
Evidence and its limits
NISTIR 8387 is general digital-preservation guidance. The AI example is an application of those principles, not a claim that a chain of custody authenticates invented content.
Guttman, White, Williams and Walraven · NIST · Technical guidance
Digital Evidence Preservation: Considerations for Evidence Handlers, NISTIR 8387 ↗ (opens in a new tab)Preservation of digital evidence, not a guarantee that the contents of a file are true or that an AI reconstruction is a recording.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
- EU AI Act — high-level summary (opens in a new tab)
regulation
- Council of Europe AI Convention (opens in a new tab)
regulation
- International humanitarian law (IHL)
framework
The body of law that governs the conduct of armed conflict and the protection of people who are not fighting, which applies to AI used in or for conflict.
A question to discuss
Can another reviewer trace each version back to the original and identify every AI transformation?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Justice
Justice means fair treatment, fair procedures, and attention to who receives benefits and burdens. It asks whether people with less power can be heard and seek repair.
Look at outcomes across different groups and individual cases. Provide a usable way to challenge decisions and correct harm. Equal wording in a policy does not guarantee equal treatment in practice.
Ask together: Who benefits, who bears the cost, and who can challenge the decision?
Accountability
Accountability means being answerable for decisions and taking responsibility for repair. It requires more than saying that the software made the choice.
Name the person or team responsible, keep useful records, and give them authority to correct problems. Make the route to a complaint clear to the people affected.
Ask together: Who will answer for the outcome and help put things right?
Dignity
Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.
Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.
Ask together: Does this use treat each person as someone whose experience matters?
Editorial ratings
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