Stanford Institute for Human-Centered AI

**Who We Are** The Stanford Institute for Human-Centered AI (HAI) is an interdisciplinary institute that advances AI and data science research, education, policy, and practice. Launched in 2019, HAI draws on faculty and students from all seven of Stanford's schools - business, education, engineering, humanities and sciences, law, medicine, and sustainability - along with partners across industry, government, and civil society, all united by the idea that AI should enable human flourishing. The most important questions in AI do not respect disciplinary boundaries. They require experts across fields to work together at a scale that individual labs or departments cannot achieve alone. Stanford HAI brings together the interdisciplinary people, expertise, and shared capabilities that make this work possible. **Our Mission****Stanford HAI's mission is to advance humanity through AI and data science. Our work focuses on discovery, technological innovation, educational transformation, and societal impact.** AI is a civilization-changing technology. It will change how we work, communicate, learn, create, and make decisions, reshaping individual lives, institutions, and society itself. Stanford HAI was created in anticipation of this moment, and our work is organized around a conviction that shapes everything we do: AI should be guided by its human impact (H), designed to augment rather than replace people (A), and inspired by human intelligence (I). We pursue that mission through three pillars - accelerating discovery, transforming education for human flourishing, and understanding and shaping AI for the good of society - each grounded in a cross-cutting commitment to openness. Open science, open source, and open class are what universities uniquely contribute to a rapidly evolving field. We publish in open forums, we release our models, tools, and datasets, and we make our teaching accessible worldwide. **Our Focus Areas** AI is a general purpose technology that can be used for good and for ill. Our vision for the future is led by a commitment to human-centered uses of AI and data science and to ensuring that the benefits are broadly shared. In support of these goals, our research falls into three pillars: AI and data science for accelerating discovery, transforming education, and understanding and shaping AI for societal good.