kaal:claim:5245185-003

Because blockchain records a verifiable and immutable history of data provenance and alterations, it mitigates data poisoning risk and supports the claim that AI models were trained on genuine datasets.

Source quote, verbatim

Blockchain establishes a verifiable record of data provenance and alterations, essential for sustaining trust and mitigating risks such as data poisoning, thereby ensuring AI models are trained on genuine datasets.

From

Wulf A. Kaal, How can we Best Monitor AI Agents (2025), 2. Convergence of AI and Blockchain Technology, p. 2
https://ssrn.com/abstract=5245185 · source PDF

Cite as

Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

Holds when

training data recorded on chain
systems relying on large language models

Classification

mechanismsupport: evidencedblockchaincitation-and-knowledgeai-and-agentseducation-and-practice

Related claims

extends kaal:claim:4941807-018 An immutable blockchain log of transactions and modifications inside AI systems lets stakeholders trace the li...

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Attestation record: colloquium/attestations/89220fa3eab218cc...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/5245185-003.md | sha256sum

Positions extending this scholarly claim