Miranda Bogen – Director, CDT AI Governance Lab
webStaff profile of Miranda Bogen, Director of CDT's AI Governance Lab, a key figure in AI accountability, bias mitigation, and AI governance policy relevant to responsible AI deployment and regulation.
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Summary
This is the staff profile page for Miranda Bogen, founding Director of CDT's AI Governance Lab. She is an AI policy expert with experience at Meta and Upturn, focusing on AI accountability, bias measurement, and governance. Her work spans empirical research on algorithmic discrimination, AI benchmarks, and privacy-preserving fairness methods.
Key Points
- •Miranda Bogen leads CDT's AI Governance Lab, developing technically-informed solutions for AI regulation and governance.
- •Previously guided responsible AI practices at Meta, including bias measurement and company-wide AI governance.
- •Co-authored research on discrimination in personalized advertising and AI's role in hiring processes.
- •Contributed to AI benchmarks for bias/robustness and privacy-preserving methods to measure racial disparities in AI.
- •Holds a master's from The Fletcher School at Tufts with a focus on international technology policy.
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Miranda Bogen - Center for Democracy and Technology
Miranda Bogen - Center for Democracy and Technology
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Miranda Bogen
Director, CDT AI Governance Lab
Miranda Bogen is the founding Director of CDT’s AI Governance Lab, where she works to develop and promote adoption of robust, technically-informed solutions for the effective regulation and governance of AI systems.
An AI policy expert and responsible AI practitioner, Miranda has led advocacy and applied work around AI accountability across both industry and civil society. She most recently guided strategy and implementation of responsible AI practices at Meta, including driving large-scale efforts to measure and mitigate bias in AI-powered products and building out company-wide governance practices. Miranda previously worked as senior policy analyst at Upturn, where she conducted foundational research at the intersection of machine learning and civil rights, and served as co-chair of the Fairness, Transparency, and Accountability Working Group at the Partnership on AI.
Miranda has co-authored widely cited research, including empirically demonstrating the potential for discrimination in personalized advertising systems and illuminating the role artificial intelligence plays in the hiring process, and has helped to develop technical contributions including AI benchmarks to measure bias and robustness, privacy-preserving methods to measure racial disparities in AI systems, and reinforcement-learning driven interventions to advance equitable outcomes in products that mediate access to economic opportunity. Miranda’s writing, analysis, and work has been featured in media including the Harvard Business Review, NPR, The Atlantic, Wired, Last Week Tonight, and more.
Miranda holds a master’s degree from The Fletcher School at Tufts University with a focus on international technology policy, and graduated summa cum laude and Phi Beta Kappa from UCLA wi
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