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title: README
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short_description: Bidirectional Human-AI Alignment Lab @ NYU Shanghai & NYU
👏 Welcome to BiAlign Lab!
BiAlign Lab at NYU Shanghai & NYU studies how humans and AI interact with and adapt to each other, with a focus on bidirectional human-AI alignment.
Our work connects Machine Learning, Multi-Modal AI (NLP, Speech, Vision), Human-Computer Interaction, and Social Computing. We aim to build AI systems that are intelligent and that also respond to human values and societal needs, toward more trustworthy and responsible AI.
🔬 Research Themes
- Bidirectional Human-AI Alignment: aligning AI to humans and helping humans adapt to AI
- Value Alignment: the value–action gap, value trade-offs, and value steering in LLMs
- AI Safety: interpretability, steerability, and the gap between what agents claim and what they do
- Human-Centered AI: AI for caregiving, mental health, education, and older adults
🌐 Community
- 📄 NeurIPS 2025 Position Paper: Bidirectional Human-AI Alignment
- 🧑🤝🧑 BiAlign Workshop @ ICLR & CHI 2025
- 🎓 NeurIPS 2025 Tutorial
- 📚 BiAlign Course @ NYU Shanghai
📦 What You'll Find Here
Datasets, models, and demos released with BiAlign Lab papers. Each repo includes a card that describes the data or model, its intended use, its license, and how to cite it.
🔗 Links
- 🏠 Lab website: hua-shen.org/src/lab.html
- 👩🏫 PI: Hua Shen
🙌 Join Us
We welcome PhD, Master's, and undergraduate researchers, as well as visitors and collaborators. See Join Us for details.