As more governments look at AI rules, Accenture tests software to help companies comply | Semafor
Briefly

Generative AI models can pose compliance risks due to their complex nature and difficulty to track. The Data Provenance Initiative found that many implementations of these models contain improperly licensed data. EQTY lab aims to address this issue by creating an immutable fingerprint of AI models using blockchain technology. This ensures transparency and accountability by tracking the different components of the model during development and generating a cryptographic signature stored on the blockchain. This technology can also be useful for companies that want to verify the authenticity of the models they are paying for.
EQTY lab hopes AI developers will use its software to create an immutable fingerprint of all of a model's components.
Companies employing large language models often use third parties to implement the technology. EQTY's software could automatically check if the model used matches the one being paid for, providing assurance to companies that they are getting what they paid for.
When those queries come back, companies want to know that the model they are paying for was actually used, instead of some cheaper or potentially less secure one.
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