Liwei Jiang – The Science Matters

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Liwei Jiang

Liwei Jiang is a final-year Ph.D. candidate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She was previously a graduate student researcher at NVIDIA and the Allen Institute for Artificial Intelligence (Ai2). Her research focuses on humanistic, pluralistic, and coevolutionary AI safety and alignment. Her work has received Best Paper Awards at NeurIPS 2025, NAACL 2022, and CHI 2024, as well as Outstanding Paper Awards at EMNLP 2023 and the AIA Workshop at COLM 2025, and has been featured in The New York Times, Nature Outlook, IEEE Spectrum, Wired, and other major media.

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Liwei Jiang is a final-year Ph.D. candidate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She was previously a graduate student researcher at NVIDIA and the Allen Institute for Artificial Intelligence (Ai2). Her research focuses on humanistic, pluralistic, and coevolutionary AI safety and alignment. Her work has received Best Paper Awards at NeurIPS 2025, NAACL 2022, and CHI 2024, as well as Outstanding Paper Awards at EMNLP 2023 and the AIA Workshop at COLM 2025, and has been featured in The New York Times, Nature Outlook, IEEE Spectrum, Wired, and other major media.

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Machine Learning-Based Experiments Put AI Ethics To The Test

Machine Learning-Based Experiments Put AI Ethics To The Test

January 14, 2026

What happens when researchers teach an AI to understand everyday moral choices Delphi reveals new insights into context, bias and human values.

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