Jared Moore
I think about how people and computers work and don’t work. How can we get AI to do what we want?
I’m a computer science Ph.D. student at Stanford.
My satirical novel about AI is out now.
Most recently, I was a lecturer at the University of Washington School of Computer Science, where I did my masters. There, I made a class on the philosophy of AI and regularly taught the ethics course. I’ve also worked at the Allen Institute for AI, Xnor.ai, and Wadhwani AI.
Email me with my first name at the address of this site.
Publications
On values, alignment
(under review) Moore, J., Y., Choi, Levine, S. (2024) Intuitions of Compromise: Utilitarianism vs. Conctractualism. https://arxiv.org/abs/2410.05496
Moore, J., Deshpande, T., Yang, D. (2024) Are Large Language Models Consistent over Value-laden Questions? In Findings of EMNLP 2024. http://arxiv.org/abs/2407.02996
Sorensen, T., Moore, J., Fisher, J., Gordon, M., Mireshghallah, N., Rytting, C. M., Ye, A., Jiang, L., Lu, X., Dziri, N., Althoff, T., Choi, Y. (2024) A Roadmap to Pluralistic Alignment. In Forty-first International Conference on Machine Learning. https://arxiv.org/abs/2402.05070
On understanding
(under review) Gu, Y., Tafjord, O., Kim, H., Moore, J., Le Bras, R., Clark, P., Choi Y. (2024) SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs. https://arxiv.org/abs/2410.13648
Ye, A., Moore, J., Novick, R., Zhang, A. (2024) Language Models as Critical Thinking Tools: A Case Study of Philosophers. In First Conference on Language Modeling. https://arxiv.org/abs/2404.04516
Thrush, T., Moore, J., Monares, M., Potts, C., Kiela, D. (2024) I am a Strange Dataset: Metalinguistic Tests for Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. https://arxiv.org/abs/2401.05300
Pock, M., Ye, A., Moore, J. (2023) LLMs grasp morality in concept. In Proc. 2023 NeurIPs Workshop on AI meets Moral Philosophy and Moral Psychology. 8 pages. https://arxiv.org/abs/2311.02294
Moore, J. (2022). Language Models Understand Us, Poorly. In Findings of EMNLP 2022. https://arxiv.org/abs/2210.10684
On AI ethics & science and technology studies
Moore, J. (2020). Towards a More Representative Politics in the Ethics of Computer Science. In Proceedings of the Conference on Fairness, Accountability, and Transparency. https://dl.acm.org/doi/abs/10.1145/3351095.3372854
Pirtle, Z., & Moore, J. (2019). Where Does Innovation Come From?: Project Hindsight, TRACEs, and What Structured Case Studies Can Say About Innovation. IEEE Technology and Society Magazine, 38(3), 56-67. https://ieeexplore.ieee.org/document/8828007
Moore, J. (2019) AI for not bad. Front. Big Data 2:32. doi: 10.3389/fdata.2019.00032
Teaching
2022-2023 » The Philosophy of AI @ UW
2021-2022 » Introduction to Artificial Intelligence @ UW
2020-2023 » Computer Ethics @ UW
Creative
2023 » The Strength of the Illusion: a satirical novel about AI
2018 » Mother Mayfly: a mixed-media installation that produces ephemeral poetry
2017 » vuExposed: an installation on digital privacy at Vanderbilt University