Trustworthy LLMs is a survey and guideline for evaluating large language models alignment. The dimensions of Trustworthiness include reliability, safety, fairness, resistance to misuse, explainability and reasoning, social norm, and robustness. Miscalibration and sycophancy are when an LLM flatters users by reconfirming their misconceptions and stated beliefs.
New research attempts to put together a complete taxonomy for trustworthiness in LLMs. Before that on the Brief: The FEC is considering new election rules around deepfakes. Also on the Brief: self-driving cars approved in San Francisco; an author finds fake books under her name on Amazon; and Anthropic releases a new model.
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