AI and distributed systems

Blockchain and AI: provenance is not synonymous with truth.

Provenance records relationships and integrity makes changes detectable; neither alone establishes the truth of a fact. Blockchain can support a verifiable architecture when its sources and limits remain visible.

Full article

Read the technical argument in full.

A record can help show that a given content or event was referenced at a given time in a system. It does not independently establish the truthfulness, authorship, legality or quality of what was recorded.

A useful distinction

Provenance is information about origin, transformations and relationships. Integrity is the ability to detect alteration relative to a reference. Neither one alone validates the real-world source of a file, prompt, model output or human claim.

Where blockchain helps

A distributed log can make a chosen state, identifier or hash auditable under its own rules. It can support traceability when it is linked to reliable capture, access, governance and retention processes.

Where AI adds risk

Models generate, transform and classify content with probabilities and context limits. A chain record does not correct biased input, fabricated output, an unreliable oracle or an inadequate policy for personal and copyrighted data.

Design for evidence

Specify what is registered, by whom, under what identity, with which source, consent, clock, retention and review route. Keep the original material, relevant metadata and the limits of each inference visible.

References

Further reading and documentation

Next step

Describe the technical context and the available material.

Describe the request