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Exploring the psychology of LLMs’ moral and legal reasoning
16 references·5 citing·50 second hop
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References

  • 1974Judgment under Uncertainty: Heuristics and Biases28,742 cited
  • 2015Superintelligence: paths, dangers, strategies1,979 cited
  • 2019Machine behaviour1,359 cited
  • 2002The misunderstood limits of folk science: an illusion of explanatory depth1,024 cited
  • 2018Many Labs 2: Investigating Variation in Replicability Across Samples and Settings944 cited
  • 2020Artificial Intelligence, Values, and Alignment885 cited
  • 2021Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency541 cited
  • 2023Can AI language models replace human participants?399 cited
  • 2009Cause and Norm371 cited
  • 2016A Companion to Experimental Philosophy362 cited
  • 2022AI-to-AI Code Reviews of GitHub Pull Requests323 cited
  • 2015Philosophers’ biased judgments persist despite training, expertise and reflection314 cited
  • 2018Estimating the Reproducibility of Experimental Philosophy180 cited
  • 2017The Artificial Moral Advisor. The “Ideal Observer” Meets Artificial Intelligence136 cited
  • 2024Diminished diversity-of-thought in a standard large language model83 cited
  • 2016

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“Ideology” or “Situation Sense”? An Experimental Investigation of Motivated Reasoning and Professional Judgment
71 cited

Cited by

  • 2025AI language model rivals expert ethicist in perceived moral expertise50 cited
  • 2025MoralBench: Moral Evaluation of LLMs25 cited
  • 2024Surprising gender biases in GPT24 cited
  • 2025From humans to machines: Researching entrepreneurial AI agents built on large language models13 cited
  • 2025Using Human Cumulative Prospect Theory to Understand Large Language Models Decision-Making1 cited