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