Andrew Gordon Wilson Aligns AI Capabilities With Safety
The NYU professor cites reduced hallucinations as proof the goals reinforce each other.
TLDR
Machine learning professor Andrew Gordon Wilson at New York University has commented on the relationship between AI system capabilities and safety measures. He noted a common perception of a trade-off between the two but suggested they can align instead. As an illustration, Wilson highlighted how efforts to decrease hallucinations in models serve as a case where enhanced performance coincides with improved safety. The statement appears in a post discussing these topics among researchers in the field. Wilson focuses his work on areas including Gaussian processes and Bayesian deep learning.
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