Research Design and Data Collection

The archive initially included US federal and state AI legislation, and it's gradually expanding to US local and international AI legislation.

Data collection, Qualitative Coding

We are tracking information about the legislation, including the risks/harms addressed, the policy sectors implicated, and the policy instruments (sticks and carrots) involved

The goal is to provide a resource to scholars to investigate priorities in the developing AI policy agenda, but we expect that policymakers may also benefit from a resource summarizing AI policy development.

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Comprehensive Archive

To determine the basic identities of Artificial Intelligence is to completely take over and regulate AI as we know it.

We live in a world where Artificial Intelligence can make its own decisions, and the statement is to regulate and govern it

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We introduce AGORA (the AI Governance and Regulatory Archive), a rigorously compiled dataset of AI-focused laws and policies from diverse jurisdictions and institutions.

AGORA includes data on over 900 instruments, enabling deep, efficient, and reliable analysis of the emerging AI governance landscape.

Systematic change occurs when laws are governed.

The goal is to inform and forwardly determine the right path for AI

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Team Members

Faculty:

Graduate researchers: Ogadinma Enwereazu, Alex Wilhelm, Selen Dogan Kosterit

Undergraduate researchers:

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For Prospective Team Members:

This project is ideal for students who care about public policy and legislation, and who want to engage directly with real-world regulatory debates. 

Students will gain experience in policy tracking, legal analysis, qualitative coding, and have opportunities to contribute public-facing blog posts that communicate emerging trends in AI governance.