Former regulator urges new approach to AI explainability
Ex-OCC chief Michael Hsu suggests shift from academic analysis to decision-based techniques
Former acting US comptroller of the currency Michael Hsu has called for banks and regulators to rethink how they handle the explainability challenge around large language models. He wants to see them take a more decision-focused approach that exploits the unique nature of LLMs.
Explainability – the ability to follow the logic that leads to the outputs from artificial intelligence – has been one of the biggest hurdles to LLM adoption among banks. By design, LLMs involve a vast number of input
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