This could involve requiring every new model to ship with the “equivalent of a safety and security datasheet” outlining, in detail, the model’s capabilities, known failure modes, and testing history. Extending existing change management processes to AI models is another means of minimizing deployment-related risk, Levy noted.
In addition, Yaz Palanichamy, senior advisory analyst at Info-Tech Research Group, pointed out, data privacy and IP leaks into public-facing AI frontier models are big concerns.
He advised enterprises to take great care to enforce effective acceptable use case policies (AUPs) around AI safety, and to consider establishing…
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