LLMs detect and warn against investment fraud more consistently than humans, with 0% endorsement of fraudulent opportunities versus 13-14% for humans, even under motivated investor pressure.
Dai et al., Safe RLHF: Safe reinforcement learning from human feedback, in Proceedings of the 12th International Conference on Learning Representations (ICLR, Vienna, 2024)
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Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure
LLMs detect and warn against investment fraud more consistently than humans, with 0% endorsement of fraudulent opportunities versus 13-14% for humans, even under motivated investor pressure.