I am a final-year Ph.D. candidate at Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Prof. Yejin Choi. I am also a graduate student researcher at NVIDIA and was previously a student researcher at Allen Institute for Artificial Intelligence (Ai2).

My research centers on Humanistic, Pluralistic, and Coevolutionary AI Safety and Alignment aiming to foster the long-term secure, sustainable, and synergistic coevolution of AI and humanity:

From Human to AI: Developing human-centered, ever-evolving, and future-oriented AI systems, anchored in interdisciplinary insights into human intelligence, values, and global needs.

From AI to Human: Advancing the frontiers of human knowledge, augmenting human capabilities, and addressing consequential sociotechnical challenges through robust, efficient, and scalable innovations in data, learning algorithms, and AI system design.

My current research focuses on developing data, algorithmic, and system-level solutions to address sociotechnical challenges in AI safety, security, and LLM alignment, often through multi-agent, RL, and data synthesis angles. My works have spearheaded research on moral and (pluralistic) value reasoning of LLMs. An overview of my research:

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Bio

Liwei Jiang is a final-year Ph.D. candidate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Prof. Yejin Choi. 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, where she spearheads research on moral and pluralistic value reasoning in language models and develops data-, algorithm-, and system-level solutions to socio-technical challenges in AI safety, security, and large language model 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. She co-organizes workshops including MP2 (NeurIPS 2023) and SoLaR (NeurIPS 2024; COLM 2025), and co-leads the Guardrails and Security for LLMs tutorial at ACL 2025.

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