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

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👥 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.

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🔗 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!