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How Students Are Building AI for Public Institutions | ReModelUN

ReModelUN

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How Students Are Building AI for Public Institutions | ReModelUN

26 просмотров · 5 мес. назад
ReModelUN
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26 просмотров · 5 мес. назад
What if students could build AI tools that actually improve public services? In this episode of ReModelUN, recorded at the AI for Good Summit in Geneva, François Grey speaks with Beth Simone Noveck, Professor at Northeastern University and the first Chief AI Strategist for the State of New Jersey. They are joined by Sharada Mohanty, CEO of AICrowd, for a conversation on AI for public institutions, experiential learning, student-built tools, and how Model UN could become a sandbox for testing better forms of AI governance. Learn more and get involved: https://www.remodelun.org/ Explore the Burnes Center for Social Change: https://burnes.northeastern.edu/ What we cover: How students are building real AI tools for public services Why public institutions need better problem definition before deploying AI How AI for Impact turns classroom learning into deployed products Why students should be paid to work on public-interest AI How challenge-based learning could scale across universities and global communities Why Model UN could become a sandbox for AI governance, negotiation, and collective intelligence Guest: Beth Simone Noveck, Professor, Northeastern University; first Chief AI Strategist, State of New Jersey Host: François Grey, University of Geneva Co-host: Sharada Mohanty, CEO of AICrowd Chapters: 00:00 Welcome from AI for Good and WSIS+20 in Geneva 00:15 Meet Beth Simone Noveck 01:03 AI for social good beyond hype and fear 02:20 Rethinking universities and learning by doing 03:06 AICrowd and challenge-based research 04:29 Defining problems for young people to tackle 05:13 Students building tools with public institutions 06:25 AI for Impact and deployed public-sector products 08:31 Bringing student-built AI to international organizations 10:33 How AICrowd defines problems at scale 13:39 Why problem definition is the hardest step 16:51 From challenge-based learning to product-based learning 18:18 Making Model UN more accessible with AI 21:20 Paying students to build public-interest AI 22:28 From “nice to have” projects to real public-sector value 24:06 Scaling AI for Impact beyond one university 27:20 Model UN as an AI governance sandbox 28:07 What young people should debate about AI governance 31:18 Moving beyond risk-only AI conversations 33:03 AI agents in Model UN negotiations 36:18 Rights, responsibilities, and human problems 38:10 Building AI for good with the next generation #ReModelUN #AIforGood #PublicSectorAI #AIGovernance #ModelUN #YouthInnovation #ExperientialLearning #AICrowd