In a world increasingly shaped by artificial intelligence, the question of how machines make decisions under uncertain conditions grows more urgent every day.
How do we weigh competing values when outcomes are uncertain? What constitutes reasonable choice when perfect information is unavailable? These questions, once confined to academic philosophy, are now front and center as we delegate increasingly complex decisions to AI.
A new large language model (LLM) framework developed by Willie Neiswanger, assistant professor of computer science at the USC…
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