2026 AI for Greater Good - New York Kick Off
https://meet.google.com/emo-eusf-cah
The 2026 AI for Greater Good Challenge launches a global, open call for ideas, teams, and solutions that use artificial intelligence to create measurable positive impact for people, communities, and the planet.
As AI systems increasingly shape economic opportunity, environmental outcomes, and public decision-making, this challenge asks a simple but urgent question: How can we design AI that advances the public good responsibly, inclusively, and at scale?
This kickoff session introduces the 2026 AI for Greater Good Challenge, outlining its mission, focus areas, evaluation principles, and participation pathways. It marks the starting point of a year-long initiative that will bring together students, researchers, practitioners, and organizations to co-create solutions across high-impact domains such as climate, health, education, equity, and civic systems.
Agenda
1. 2026 AI & Energy Storage Outlook
✅ Ning Qi (Post PhD at Columbia University)
✅ Yingtong Liu (MS at Columbia University Sustainability Management)
✅ Runxin shao (MS at Cornell University)
✅ Xinming Guo (MS at Columbia Climate School)
Problem statement: Khande-Jae Fisher & Ann (Xiaoran) C.
2. Panel 1: AI & 2026
✅ Lucas Xu from Meta
✅ Paola Lopez from Uber
✅ junmin liu from Apple
✅ Taewan Yoon, CFA from Anthropic and Columbia Business School
3. Panel 2: AI & Organization Change
✅ Ahmed Ibrahim from Columbia University
✅ Ryan Wang from Solaris Venture Partners
4. Panel 3: AI & Community Growth
✅ Joon Lim from Nummo
✅ Cornelia Gu
The event will conclude with an open networking session, providing space for participants, speakers, and partners to connect and explore collaboration opportunities.
Who should attend:
AI researchers, engineers, and product builders
Sustainability, policy, and social-impact professionals
Students and early-career innovators
Organizations interested in piloting or supporting AI-for-good solutions