Harry R. Lloyd

hrl [at] unc [dot] edu

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Research: AI


  • 2026:
     
    • MoReBench: evaluating procedural and pluralistic moral reasoning in language models, more than outcomes. Proceedings of the International Conference on Learning Representations 2026. [authors: Yu Ying Chiu, Michael S. Lee, Rachel Calcott, Brandon Handoko, Paul de Font-Reaulx, Paula Rodriguez, Chen Bo Calvin Zhang, Ziwen Han, Udari Madhushani Sehwag, Yash Maurya, Christina Q. Knight, Harry R. Lloyd, Florence Bacus, Mantas Mazeika, Bing Liu, Yejin Choi, Mitchell L. Gordon, Sydney Levine | arXiv | website | ScaleAI blog post | ScaleAI YouTube interview]
       
  • 2025:
     
    • Disagreement, AI alignment, and bargaining. Philosophical Studies, 182.7, 1757-87 [pre-publication pdf | doi]
      • Synopsis: When stakeholders disagree about how an AI should behave, resolving this disagreement through simulated bargaining is better than resolving it through voting or expected value maximisation
         
  • 2023:
     
    •  Large language models and biorisk. American Journal of Bioethics, 23.10, 115-8. [coauthors: William D'Alessandro and Nathaniel Sharadin | pre-publication pdf | doi]