Yejin Choi: Director of AI Research, NVIDIA
AI research leader Yejin Choi advances common sense reasoning, ethical intelligence, and efficient AI systems, shaping the future of human-centered artificial intelligence.
Quick Facts:
- Highlights:
- Professor at Stanford HAI and Senior Director of AI Research at NVIDIA
- Pioneer in common sense reasoning and ethical AI research
- MacArthur Fellow and multiple best paper award recipient
- Recognized by Time as one of the 100 Most Influential People in AI
- Formats: AI researcher, technology keynote speaker, and academic thought leader
- Audiences: Technology leaders, researchers, policymakers, executives, and organizations navigating the ethical and strategic impact of artificial intelligence
- Outcomes:
- Clear understanding of AI’s limitations and blind spots
- Insight into building more efficient, ethical, and human-centered AI
- Informed perspective on the future of AI research and deployment
- Travels from: San Francisco, CA
- **Fee range: On Request
Talent Services
Keynote Topics:
Speaker Topics
- Artificial Intelligence
- AI Technology
Talent Short Bio
Yejin Choi is a globally respected artificial intelligence researcher and thought leader known for tackling AI’s most difficult and overlooked challenges: common sense reasoning, moral judgment, and robust understanding beyond data scale. She serves as the Dieter Schwarz Foundation HAI Professor, Professor of Computer Science, and Senior Fellow at Stanford HAI, where her work bridges technical innovation with human-centered AI design.
Choi earned her PhD from Cornell University, specializing in natural language processing, and has held prominent research roles at the University of Washington and the Allen Institute for AI. She currently serves as Senior Director of AI Research at NVIDIA, where she helps guide the development of next-generation AI systems.
Her research challenges the assumption that progress in AI depends solely on ever-larger datasets and models. Instead, she advocates for smaller, more efficient, and more interpretable systems that better reflect human reasoning and values. Her contributions have earned her a MacArthur Fellowship, multiple best paper awards, and recognition on Time’s list of the 100 Most Influential People in AI.
Read Full Bio
Long before artificial intelligence became the powerhouse of modern technology, Yejin Choi was already diving into its most complex and overlooked challenges. As the Dieter Schwarz Foundation HAI Professor, a Professor of Computer Science, and a Senior Fellow at Stanford HAI, she continues to shape the future of AI research with a sharp focus on common sense reasoning, moral decision-making, and efficient AI models.
As a young girl fascinated by science, Yejin Choi spent her childhood defying cultural expectations and questioning social norms. This led her to pursue a PhD at Cornell University, where she worked with Claire Cardie on natural language processing (NLP). Over the years, Yejin Choi has held esteemed positions at the University of Washington and the Allen Institute for AI, and most recently, she took on a new role as NVIDIA’s Senior Director of AI Research.
Choi’s research explores the very things AI struggles with most: common sense, ethics, and nuanced understanding. She has challenged the assumption that AI must rely solely on massive datasets and has pushed for the development of smaller, more efficient language models. Her work has earned her a MacArthur Fellowship, multiple best paper awards, and a spot on Time’s list of the 100 Most Influential People in AI.
Yejin Choi is a sharp and thoughtful critic of AI’s blind spots. From co-authoring papers on AI bias to questioning the way large language models are trained, she has never shied away from difficult conversations. Her TED Talk, Why AI is Incredibly Smart and Shockingly Stupid, captures her distinctive perspective: AI is only as good as the assumptions we feed it, and those assumptions need scrutiny.
With her latest appointment at Stanford HAI, Choi is doubling down on her mission to build AI that doesn’t just mimic intelligence but truly understands the world it operates in. She remains committed to interdisciplinary collaboration, working with cognitive scientists, philosophers, and ethicists to ensure AI develops in a way that benefits humanity. As AI continues to reshape industries and societies, her voice and work is more essential than ever.
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