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AI Governance Lab

CDT's AI Governance Lab develops practical, technically-grounded resources to advance AI auditing, and accountability, and safety — engaging directly with companies and policymakers to protect people most affected by AI.

CDT’s AI Governance Lab develops and promotes adoption of robust, technically-informed solutions for the effective regulation and governance of AI systems.

The Lab provides public interest expertise in rapidly developing policy and technical conversations, to advance the interests of individuals whose lives and rights are impacted by AI. We place a particular emphasis on the rights and interests of historically marginalized people, who are often disproportionately harmed by poorly designed and implemented systems and face systemic barriers in countering those harms.

The AI Governance Lab is led by experts experienced in guiding the responsible development of AI products and services and in developing governance structures for AI-powered systems. They leverage CDT’s leadership in AI policy to engage directly with companies and multistakeholder initiatives, support public interest advocates, and guide policymakers on the effective governance of AI.

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Statement of Core Activities

The Lab works in close collaboration with academic researchers, practitioners, and other stakeholders to define and promote implementable solutions.

Advocating for the adoption of responsible governance solutions through multi-stakeholder initiatives and direct-to-company engagement. The Lab works with practitioners to define, shape, and implement standards and norms around priorities like AI auditing and safety evaluation.

Supporting CDT’s policy teams in advising policymakers on how to achieve effective auditing, safety, and accountability solutions through legislation, regulation, funding, and government-endorsed best practices.

Strengthening public interest advocates, particularly civil rights organizations, researchers focused on disinformation, and other groups representing impacted communities.

Building bridges and access points for the research community. The Lab hosts fellowships and pursues collaborations with researchers working on topics including fairness, accountability, and transparency in AI, as well as information integrity and AI safety.

Latest Insights

Can Generative Intermediaries Deliver When It Comes to Information Quality?
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Can Generative Intermediaries Deliver When It Comes to Information Quality?

LLM-powered systems are mediating what people know and believe, the decisions they make, their ability to participate in democracy, and their ability to access trustworthy information on the issues that matter most to them.
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  • CDT Submits Comments Opposing FTC’s Misguided “Policy Statement Addressing AI Accuracy”
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    CDT Submits Comments Opposing FTC’s Misguided “Policy Statement Addressing AI Accuracy”

    The FTC’s proposed framework wrongly treats standard technical steps that are needed to train AI models, and ensure they are accurate, reliable, fair, and safe, as potential “deceptive steering” away from an assumed “neutral” baseline.
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    Miranda Bogen

    Director, CDT AI Governance Lab & Chief Technologist

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    Kevin Bankston

    Senior Advisor on AI Governance