Dr. Fei-Fei Li is Co-Director of Stanford’s Human-Centered AI Institute and author of "The Worlds I See: Curiosity, Exploration and Discovery at the Dawn of AI." She has been a leading researcher in cognitive AI, machine learning, deep learning, computer vision, and more for decades: Her work has been foundational to the AI transformation that the world is now using.
Juan M. Lavista Ferres is Corporate Vice President and Chief Data Scientist of the AI for Good Lab at Microsoft. Collaborating across researchers, organizations, and experts in the domains of AI, machine learning, and statistical modeling, his work drives progress toward addressing some of the world’s most pressing challenges. He is author of "AI for Good: Applications in Sustainability, Humanitarian Action, and Health."
These two innovators and leaders in AI for social impact joined the mainstage at the Global Nonprofit Leaders Summit for a conversation on the deep learning and complex data sets that enable generative AI, how responsible AI must be the foundation of innovation, and her work that is bringing inspiration to the next generation of AI leaders.
Key video topics summarized by Microsoft Copilot:
- The impact of ImageNet and data-driven AI: Fei-Fei Li shared her journey of creating ImageNet and how it sparked the deep learning revolution in computer vision and beyond. She also emphasized the importance of data for innovation and public good. (Video timestamp 1:38)
- The role of language and large language models: Fei-Fei Li discussed how language models can help reduce the barrier of language and enable more communication and knowledge sharing. She also highlighted the need for responsible and ethical use of these tools in education and society. (10:33)
- The gender gap and diversity in AI: Fei-Fei Li shared her experience as a female leader in AI and the challenges of the underrepresentation of women and minorities in the field. She also mentioned her nonprofit organization, AI4ALL, which aims to inspire and educate the next generation of diverse AI talents. (13:42)
- The resource gap between academia and industry: Fei-Fei Li expressed her concern about the lack of adequate resources for academia and public sector to conduct cutting-edge AI research and provide public goods. She also mentioned the policy effort of the National AI Research Resource and the importance of partnership with the private sector. (19:51)
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