Finance

Who Is Hannah Davis, the AI Policy Expert and Former U.S. Treasury Official

Hannah Davis is a policy expert and former U.S. Treasury official known for her work on artificial intelligence and financial regulation. She has advised senior officials on AI...

Mara Ellison
Who Is Hannah Davis, the AI Policy Expert and Former U.S. Treasury Official

Who Is Hannah Davis

Hannah Davis is a policy expert and former U.S. Treasury official known for her work on artificial intelligence and financial regulation. She has advised senior officials on AI governance, risk management, and the intersection of AI with national security and markets. Her public profile grew through roles tied to AI policy coordination across the U.S. government and through commentary on AI-related financial risks.

Davis has been cited in major outlets and industry discussions as a voice on how governments should oversee AI without stifling innovation. She emphasizes practical frameworks, data-driven risk assessment, and cross-agency coordination. Her work often references concrete tools, standards, and institutional structures rather than broad speculation.

Hannah Davis Career and Roles

Hannah Davis has held positions at the U.S. Department of the Treasury, focusing on technology policy, AI, and financial stability. Her responsibilities have included analyzing AI-related risks to the financial system and helping shape policy responses. She has also been involved in interagency efforts to align AI governance with existing financial regulation.

Key Roles and Affiliations

In her career, Davis has worked at the intersection of finance and technology, including roles that involved direct engagement with regulators and industry stakeholders. She has contributed to discussions on AI safety, cybersecurity, and the use of AI in financial services. Her background combines policy analysis, risk management, and a focus on practical implementation of AI governance frameworks.

Hannah Davis AI Policy Focus

Davis focuses on AI policy areas such as risk assessment, transparency, and accountability in financial services. She has discussed how AI models can affect markets, credit decisions, and systemic risk. Her approach often highlights the need for clear rules, robust testing, and coordination between agencies.

Core Policy Themes

Her public work points to several core themes, including the importance of understanding AI capabilities and limitations, the need for sector-specific guidance, and the value of international coordination. She has referenced real-world examples and regulatory developments to illustrate how AI policy can be operationalized. Her writing and speaking often cite specific tools, frameworks, and institutional mechanisms rather than abstract concepts.

Hannah Davis Public Appearances and Contributions

Hannah Davis has contributed to public discussions on AI policy through interviews, panels, and written analysis. She has addressed topics such as AI governance, financial regulation, and the role of government in shaping AI development. Her contributions often focus on actionable policy steps and practical challenges.

Selected Media and Industry Engagements

She has appeared in media coverage and industry events where she discussed AI risks and policy responses in concrete terms. Her engagements often reference specific regulatory initiatives, market developments, and technological capabilities. She has also contributed to discussions on how financial institutions can manage AI-related risks while leveraging AI for efficiency and innovation.

Hannah Davis Education and Background

Hannah Davis has a background that combines policy, finance, and technology. Her education and professional experience have prepared her for roles at the intersection of AI and financial regulation. She has focused on building practical frameworks for AI governance and risk management.

Areas of Expertise

Her expertise spans AI policy, financial regulation, risk assessment, and cross-agency coordination. She has worked on issues related to AI safety, cybersecurity, and the use of AI in critical infrastructure. Her approach emphasizes clear, evidence-based policy and the practical implementation of governance frameworks in complex regulatory environments.

For more context on U.S. Treasury policy roles, see the official U.S. Department of the Treasury website home.treasury.gov. For broader AI policy discussions, the Brookings Institution provides research and analysis at brookings.edu.

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