Georgia Tech AISI Policy Hackathon
Organized by Georgia Tech
This event has ended.
Entries
- View project: AI Risk Management Framework for the Healthcare Sector
AI Risk Management Framework for the Healthcare Sector
Team Maria & Vibhuti · Atlanta
This policy brief proposes an AI Risk Management Framework for the healthcare sector to address issues like data privacy, algorithmic bias, and transparency. Current federal regulations are stalled, and existing state laws and proprietary frameworks offer fragmented oversight. The proposed framework consists of five …
- View project: 21st Century Healthcare, 20th Century Rules - Bridging the AI Regulation Gap
21st Century Healthcare, 20th Century Rules - Bridging the AI Regulation Gap
Team VECR AI · Singaore
The rapid integration of artificial intelligence into clinical decision-making represents both unprecedented opportunities and significant risks. Globally, AI systems are implemented increasingly to diagnose diseases, predict patient outcomes, and guide treatment protocols. Despite this, our regulatory frameworks …
- View project: Building Global Trust and Security: A Framework for AI-Driven Criminal Scoring in Immigration Systems
Building Global Trust and Security: A Framework for AI-Driven Criminal Scoring in Immigration Systems
Team Criminal Scoring in Immigration Systems · Atlanta
The accelerating use of artificial intelligence (AI) in immigration and visa systems, especially for criminal history scoring, poses a critical global governance challenge. Without a multinational, privacy-preserving, and interoperable framework, AI-driven criminal scoring risks violating human rights, eroding …
- View project: Leading AI Governance New York State's Adaptive Risk-Tiered Framework: POLICY BRIEF
Leading AI Governance New York State's Adaptive Risk-Tiered Framework: POLICY BRIEF
Team Sky's the limit · Albany, NY
The rapid advancement of artificial intelligence (AI) technologies presents unprecedented opportunities and challenges for governance frameworks worldwide. This policy brief proposes an Adaptive Risk-Tiered Framework for AI deployment and application in New York State (NYS) to ensure safe and ethical AI operations in …
Overview
Georgia Tech AI Governance Hackathon
The Georgia Tech AI Governance Hackathon is an event designed to address urgent challenges in AI governance through interdisciplinary problem-solving. This collaborative initiative empowers students to craft innovative solutions for regulating AI systems ethically and effectively.
✨ Why AI Governance Matters Now
The rapid advancement of AI technologies presents unprecedented challenges for governance frameworks worldwide. As systems become more capable and widespread, the need for thoughtful policy approaches has never been more urgent. This hackathon addresses critical gaps in our current regulatory landscape by empowering participants to develop innovative, actionable solutions.
Join us in this crucial endeavor to shape the future of AI governance! Whether you're a computer scientist, policy expert, ethicist, or legal scholar, your perspective is essential to developing comprehensive frameworks that balance innovation with safety and ethical considerations.
🎯 Challenge Tracks
1. International Cooperation
Bridge the divides in AI regulation across national boundaries. Work on frameworks that facilitate global collaboration while respecting regional differences in values, priorities, and regulatory approaches.
Key questions to explore:
How can we harmonize AI governance standards across jurisdictions?
What mechanisms can foster agreement between different political systems?
How might we design adaptive international frameworks that evolve with AI capabilities?
2. Deployment & Application Regulation
Develop policies ensuring safe and ethical AI operation in high-stakes domains like healthcare, transportation, and public safety. Focus on proportional oversight mechanisms that scale with risk levels.
Key questions to explore:
What testing and certification processes should precede AI deployment in critical sectors?
How can we balance innovation with appropriate safety precautions?
What ongoing monitoring frameworks should be implemented for deployed systems?
3. Training Data Privacy & Copyright
Design balanced approaches to data rights that protect individual privacy and intellectual property while enabling beneficial innovation.
Key questions to explore:
How should we reform copyright law to address AI training data concerns?
What compensation models might work for creators whose content trains AI systems?
How can we ensure transparent data practices while protecting proprietary interests?
🏆 Prizes & Recognition
Top teams will present their solutions to a distinguished panel of judges, including AI policy experts, industry leaders, and academic professionals.
Beyond recognition, winning proposals may be:
Considered for further development by relevant stakeholders
Featured in Georgia Tech publications
Presented at upcoming AI governance conferences
Shared with policymakers through Georgia Tech's networks
👥 Who Should Participate?
This hackathon welcomes Georgia Tech undergraduate and graduate students from diverse disciplines:
Computer Science
Public Policy
Law
Ethics
International Relations
Economics
Engineering
Social Sciences
We encourage interdisciplinary teams! While helpful, prior policy experience is not required—we'll provide resources and mentorship to guide participants at all experience levels.
🔗 Join Us in Shaping AI's Future
This hackathon offers more than just a weekend of collaboration—it's an opportunity to influence how society governs one of the most transformative technologies of our time. Join us to:
Gain hands-on experience in AI policy development
Network with leading experts and like-minded peers
Contribute meaningful solutions to pressing governance challenges
Enhance your resume with specialized experience
Potentially influence real-world policy frameworks
Register now and be part of designing the governance structures that will guide AI development for generations to come!
Resources
Reading Materials
International Cooperation
AI & Global Governance: Why We Need an Intergovernmental Panel for Artificial Intelligence
Regulating the AI Frontier: Design Choices and Constraints
Deployment & Application Regulation
Racing through a minefield: the AI deployment problem
EU AI Act Overview
To Govern AI, We Must Govern Compute (CNAS)
Training Data Privacy & Copyright
Nightshade: Protecting Copyright via Data Poisoning
GitHub AI Copyright Lawsuit Case Study
GDPR Overview
Additional Support
Mentorship from Georgia Tech faculty and AISI members
Workshops on policy drafting, and current state of AI policy
Access to industry professionals and policy experts for guidance
Instructions on how to join discord and channel
Those participating remotely should join Georgia Tech AI Safety Initiative’s discord here: https://discord.com/invite/kXrwH4ggFp. Ping either Ayush Panda or Yixiong Hao to be added to the dedicated channel for the hackathon!
Most up to date site for logistics: https://www.aisi.dev/policy-hackathon
Most up to date track materials: https://docs.google.com/document/d/1iv-k8w_R_kosPtmlb0emgaFnIiykIOYpS4c7xlt7VPA/edit?tab=t.0
Zoom link for all workshops and presentations: https://gatech.zoom.us/j/91738626965
Schedule
Dates: April 5-6, 2025
Day 1 (April 5) - In-person at Klaus 2443:
10:00 AM - 10:30 AM: Registration & Networking
10:30 AM - 11:30 AM: Opening Ceremony & Keynote Address (Speakers TBD)
11:30 AM - 12:15 PM: Workshop 1 - Policy Brief Development & Stakeholder Analysis Workshop
12:15 PM - 1:15 PM: Lunch Break & Team Formation
1:30 PM - 2:15 PM: Workshop 2 - Regulatory Frameworks & Impact Assessment
2:15 PM - 5:30 PM: Team Project Kickoff & Initial Development
5:30 PM - 7:00 PM: Office Hours with Faculty Mentors and AISI Members
Day 2 (April 6) - Virtual:
9:00 AM - 9:30 AM: Virtual Check-in & Day 2 Briefing
9:30 AM - 12:30 PM: Team Project Development (Remote)
12:30 PM - 2:00 PM: Online Office Hours (Session 1)
2:00 PM - 6:00 PM: Continued Project Development
6:00 PM - 7:30 PM: Online Office Hours (Session 2)
11:59 PM: Submission Deadline
April 6 - April 12:
Judging period (AISI executive committee preliminary evaluation)
Selection of finalists for in-person judging
April 12 - Final Presentations:
1:00 PM - 1:30 PM: Welcome & Introduction of Judges
1:30 PM - 3:30 PM: Finalist Team Presentations
3:30 PM - 4:15 PM: Judges Deliberation & Networking
Upcoming Apart Sprints
All Sprints- Oct 23 - 25, 2026Online and in person
AI Collusion Research Sprint
A weekend research sprint on collusion between AI agents: when it emerges in markets and everyday workflows, how to detect and audit it, how it is carried, and what breaks it. Co-organized with Poseidon Research and AE Studio, online with in-person hubs at Collider in New York City and AI Safety Hong Kong. Top teams are invited to apply to the Apart Fellowship.
Read the brief: AI Collusion Research Sprint - Nov 13 - 15, 2026Online
AI x Epistemics Research Sprint
A weekend research sprint on AI for epistemics: evaluating whether models know how solid their claims are, building trust infrastructure that people and agents can consume, and shipping epistemic products that improve real decisions. Online, four tracks including an open track. Top teams are invited to apply to the Apart Fellowship.
Read the brief: AI x Epistemics Research Sprint