AI Governance Leadership
Atlantic Council Commission on AI
Commissioner | A Roadmap for U.S. Leadership in the Age of AI
As a commissioner, I contributed to a national strategy report on how the United States can sustain AI leadership through innovation, talent, governance, infrastructure, and international partnerships. The report emphasizes that durable AI leadership depends on public trust, practical safeguards, and coordinated action across government, industry, and civil society.
U.S. Chamber of Commerce AI Commission
Commissioner | Artificial Intelligence Commission Report
As a commissioner, I contributed to a bipartisan national report on responsible AI innovation, competitiveness, workforce readiness, and risk-based regulation. The Commission traveled across the United States and internationally to hold hearings and gather input from a wide range of stakeholders, including small and large businesses, civil society organizations, academics, and policy leaders. The report reflects a practical, cross-sector approach to AI governance grounded in public trust, economic opportunity, and responsible innovation.
Aspen Institute Science & Society Program
Expert Contributor | A Blueprint for Equitable AI
As an expert contributor, I participated in Aspen Institute roundtable discussions on how to build and distribute artificial intelligence for more equitable outcomes. The report explores practical questions around AI access, accountability, community participation, transparency, recourse, and the role of public and private institutions in ensuring AI systems serve a broad range of communities.
UC Berkeley Center for Long-Term Cybersecurity
Expert Contributor | AI Risk-Management Standards Profile for General-Purpose AI and Foundation Models
Contributor to a practical risk-management profile for general-purpose AI and foundation models, designed to help developers identify, assess, and mitigate risks across governance, accountability, evaluation, transparency, third-party dependencies, and societal impact. The profile builds on the NIST AI Risk Management Framework and ISO/IEC 23894, with guidance tailored to frontier and foundation model development.
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Foreign Policy in the Age of Artificial Intelligence
Council on Foreign Relations
Featured speaker for a CFR luncheon discussion on how AI is reshaping foreign policy, national security, global governance, and responsible technology leadership.
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What AI Can Do for Your Country
Nautilus
Featured perspective on how responsible AI adoption can improve government services, strengthen public-sector capacity, and better serve people in high-impact areas like transportation, benefits, taxes, and civic infrastructure.
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Three predictions for the future of responsible technology
World Economic Forum
Contributor perspective on the future of responsible technology, including the rise of responsible tech investing, targeted regulation, and ethics as a core part of technical education and organizational practice.
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How to Create an Internal AI Use Policy
Salesforce 360 Blog
Perspective on how companies can create practical internal AI guidelines that empower employees to use AI confidently while protecting sensitive data, managing regulatory risk, and reinforcing responsible innovation.
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Critical Challenges for Corporate Board Oversight of AI
Tapestry Networks / White & Case
Contributor in a senior executive and board-level discussion on how companies can govern AI responsibly while managing innovation, regulatory uncertainty, cybersecurity risk, disclosures, and effective board oversight.
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Experts React: Biden’s AI Executive Order
Atlantic Council
Expert commentary on how the executive order could catalyze responsible private-sector innovation through AI safeguards, anti-discrimination enforcement, public-interest research infrastructure, and a stronger AI talent pipeline.
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