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| title: README |
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| short_description: Bidirectional Human-AI Alignment Lab @ NYU Shanghai & NYU |
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| <img src="https://hua-shen.org/assets/images/lab_logo_full.png" alt="BiAlign Lab" width="420"/> |
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| # 👏 Welcome to BiAlign Lab! |
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| **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**. |
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| 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**. |
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| ## 🔬 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 |
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| ## 🌐 Community |
| - 📄 [NeurIPS 2025 Position Paper: Bidirectional Human-AI Alignment](https://arxiv.org/pdf/2406.09264) |
| - 🧑🤝🧑 [BiAlign Workshop @ ICLR & CHI 2025](https://bialign-workshop.github.io/) |
| - 🎓 [NeurIPS 2025 Tutorial](https://nips.cc/virtual/2025/tutorial/109592) |
| - 📚 [BiAlign Course @ NYU Shanghai](https://hua-shen.org/src/course_bialign.html) |
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| ## 📦 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. |
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| ## 🔗 Links |
| - 🏠 Lab website: [hua-shen.org/src/lab.html](https://hua-shen.org/src/lab.html) |
| - 👩🏫 PI: [Hua Shen](https://hua-shen.org/) |
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| ## 🙌 Join Us |
| We welcome PhD, Master's, and undergraduate researchers, as well as visitors and collaborators. See [Join Us](https://hua-shen.org/src/lab.html) for details. |
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