#AI2025USA

This event has now taken place!

Thank you to all speakers, sponsors, partners & delegates who joined us. We look forward to seeing you at the 2026 edition. In the meantime, should you wish to find out more about speaking and sponsorship opportunities at next year’s event, please contact anne-lise.simon@forum-global.com

About

The USA Artificial Intelligence Summit will take place in Washington, D.C. on June 3rd, 2025. The conference will provide a top-level meeting space for the AI community in the US and further afield to explore the nation’s approach to AI development, adoption and governance in the context of an emerging global AI order and to examine the pivotal role of AI in shaping the future.

The US finds itself at a critical juncture, with the opportunity to cement its dominance in the rapidly advancing field of Artificial Intelligence. By prioritizing bold, America-centric initiatives to promote AI adoption and deployment, a wave of innovation can be unleashed, unlocking new business opportunities, and fuelling socio-economic growth. The Summit will serve as a crucial platform, bringing together policymakers, industry leaders, and AI experts. The conference will explore AI innovation and governance in the US amidst a complex and increasingly competitive global landscape.

Discussions will delve into the key policy shifts under the new Trump Administration, particularly the forthcoming AI Action Plan. The gathering will dissect the potential impact of state laws on a future federal AI policy, strategize on expanding AI infrastructure, and explore ways to enhance public trust in AI. Real-world AI applications will take center stage, followed by an in-depth exploration of the intricate balance between national security, international collaboration and increasing geopolitical competition.

Should you wish to find out about speaking, sponsorship and visibility opportunities, please contact Anne-Lise Simon at us-aisummit@forum-europe.com

Key Themes

Thank you to all speakers, sponsors & delegates who joined us. We look forward to seeing you at the 2025 edition. In the meantime, should you wish to find out more about speaking and sponsorship opportunities at next year’s event, please contact anne-lise.simon@forum-europe.com

joining us to share their thoughts

Speakers

Jay Obernolte

Jay Obernolte

Vice Chair of the Congressional Artificial Intelligence Caucus
US House of Representatives *via pre-recorded message

Melissa Holyoak

Melissa Holyoak

Commissioner
Federal Trade Commission

Kirk Cullimore

Sen. Kirk Cullimore

State Senator
Utah

Giovanni Capriglione

Rep. Giovanni Capriglione

State Representative
Texas

Michelle Lopes Maldonado

Del. Michelle Lopes Maldonado


Virginia House of Delegates

Mike Horton

Dr. Mike Horton

Chief Artificial Intelligence Officer
U.S. Department of Transportation

Neelesh Nerurkar

Neelesh Nerurkar

Acting Principal Deputy Director and Director of Infrastructure Policy, Office of Policy
U.S. Department of Energy

Roman Jankowski

Roman Jankowski

Chief Privacy Officer
U.S. Department of Homeland Security

Sterling Thomas

Dr. Sterling Thomas

Chief Scientist
Government Accountability Office (GAO)

Tess deBlanc-Knowles

Tess deBlanc-Knowles

Special Assistant to the Director for Artificial Intelligence
National Science Foundation (NSF)

Stephen Miller

Stephen Miller

Chief Technology Officer
The Office of the Chief Technology Officer, Government of the District of Columbia

Brando Benifei

Brando Benifei

Chair of the Delegation for relations with the United States
European Parliament

César Parga

César Parga

Chief, Competitiveness, Innovation and Technology Section, Department of Economic Development
Organization of American States

Chandler C. Morse

Chandler C. Morse

Vice President, Corporate Affairs
Workday

Elise Houlik

Elise Houlik

Chief Privacy Officer
Intuit

Abdel Mahmoud

Abdel Mahmoud

Founder & CEO
Anterior

John Lynn

John Lynn

Partner, Technology & IP Transactions
Kirkland & Ellis

Karen Kornbluh

Ambassador Karen Kornbluh

Former U.S. Ambassador to the OECD and Former Deputy Director, Office of Science and Technology
The White House

Adam Thierer

Adam Thierer

Senior Fellow, Technology & Innovation
R Street Institute

Stephanie Ifayemi

Stephanie Ifayemi

Senior Managing Director of Policy
Partnership on AI

Gregory C. Allen

Gregory C. Allen

Director of the Wadhwani AI Center
Center for Strategic and International Studies (CSIS)

Tanya Das

Tanya Das

Director of AI and Energy Technology Policy
Bipartisan Policy Center

Joe Putnik Website&Mailing

Joe Putnik

Senior Congressional Innovation Fellow
TechCongress

Peter Lovelock

Dr. Peter Lovelock

Chief Innovation & Delivery Officer
Access Partnership

Merve Hickok

Merve Hickok

President
Center for AI and Digital Policy

Ryan Fedasiuk

Ryan Fedasiuk

Director, U.S. AI Governance
The Future Society

Susan Ariel Aaronson

Susan Ariel Aaronson

Research Professor of International Affairs
George Washington University

Hodan Omaar

Hodan Omaar

Senior Policy Manager
Center for Data Innovation

Mike Swift

Mike Swift

Chief Global Digital Risk Correspondent
MLex

Jonathan Litchman

Jonathan Litchman

Co-founder and CEO
The Providence Group

Agenda

*** TIMES ARE IN EDT ***

The USA Artificial Intelligence Summit 2025
2025-06-03
08:45 - 09:30
Registration
09:30 - 09:35
Welcome
09:35 - 09:40
Keynote Speech – via video message
Keynote Speech – via video message image
Jay Obernolte
Vice Chair of the Congressional Artificial Intelligence Caucus, US House of Representatives
09:40 - 10:40
Session 1 – How Might State Laws Inform Federal Action on Artificial Intelligence?

Despite numerous AI-related bills being considered by Congress these past years, there are currently no comprehensive federal legislation or regulations in the U.S. that govern the development or use of AI technologies. In this context, U.S. states have stepped in to regulate AI through broad legislation or targeted policies for specific applications, creating a complex and evolving patchwork of laws that businesses and consumers must navigate. To what extent can this fragmented approach drive or hinder innovation? What can alleviate uncertainty for businesses, including SMBs and consumers? How will these diverse state laws inform and influence federal action? Can bipartisan consensus on AI-related issues be found in Congress to enact a comprehensive federal AI law that unifies a U.S. approach to AI governance, innovation, and adoption, positioning the country to lead confidently at home and on the global stage?

 

Key topics for discussion:

  • The evolving role of state governments in AI regulation, the implications of this growing patchwork for companies, consumers, and innovation
  • How state-led initiatives may serve as a blueprint for federal action
  • The extent to which the right balance can be struck between national consistency and state-level flexibility and the implications for consumers and businesses (including SMBs)
  • Potential areas for bipartisan consensus on AI-related issues at the Federal level by assessing the findings of the Bipartisan Artificial Intelligence Task Force report released in December 2024 – and explore the next steps
  • How policymakers can create a coherent and comprehensive framework that fosters innovation while mitigating risk and help maintain U.S. competitiveness on the global stage
Session 1 – How Might State Laws Inform Federal Action on Artificial Intelligence? image
Del. Michelle Lopes Maldonado
Virginia House of Delegates
Session 1 – How Might State Laws Inform Federal Action on Artificial Intelligence? image
Rep. Giovanni Capriglione
State Representative, Texas
Session 1 – How Might State Laws Inform Federal Action on Artificial Intelligence? image
Sen. Kirk Cullimore
State Senator, Utah
Session 1 – How Might State Laws Inform Federal Action on Artificial Intelligence? image
Moderated by: Mike Swift
Chief Global Digital Risk Correspondent, MLex
10:40 - 11:00
Coffee Break
11:00 - 12:00
Session 2 – Powering the Future: Delivering the infrastructure to support the US AI Leadership

The United States stands at the cusp of a transformative AI revolution but realizing the technology’s full potential hinges on a robust infrastructure. With AI compute demand far outpacing supply, a strategic approach is essential to maximize access, encourage innovation, and solidify America’s leadership in AI. This session will explore how the United States addresses the massive infrastructure requirements for current and next-generation AI developments, discussing the investments needed to expand AI compute capacity, strengthen digital infrastructure, and ensure a stable and affordable energy supply. It will analyze strategies for expanding domestic AI compute infrastructure – including initiatives like the $500 billion Stargate project for AI data centers – by examining approaches to building secure, high-performance computing environments that can handle intensive AI workloads while ensuring equitable access for startups, researchers, and businesses of all sizes.

 

Key topics of discussion to explore:

  • Strategies for scaling domestic AI compute infrastructure and ensuring equitable access for startups, researchers, and businesses.
  • What needs to be done to accelerate data center construction, grid connectivity, and energy reliability to meet growing AI demands.
  • How federal and private sector investments—such as the $500 billion Stargate initiative—will reshape the US AI infrastructure.
  • The impact of decentralized digital infrastructure, including edge computing, in supporting AI growth and enabling new applications
  • Expanding AI infrastructure investment globally to enhance U.S. technological influence and competitiveness.
  • Advancing sustainable and cost-effective energy solutions to power AI workloads.
Session 2 – Powering the Future: Delivering the infrastructure to support the US AI Leadership image
Tess deBlanc-Knowles
Special Assistant to the Director for Artificial Intelligence, National Science Foundation (NSF)
Session 2 – Powering the Future: Delivering the infrastructure to support the US AI Leadership image
Neelesh Nerurkar
Acting Principal Deputy Director and Director of Infrastructure Policy, Office of Policy, U.S. Department of Energy
Session 2 – Powering the Future: Delivering the infrastructure to support the US AI Leadership image
Tanya Das
Director of AI and Energy Technology Policy, Bipartisan Policy Center
Session 2 – Powering the Future: Delivering the infrastructure to support the US AI Leadership image
Dr. Peter Lovelock
Chief Innovation & Delivery Officer, Access Partnership
Session 2 – Powering the Future: Delivering the infrastructure to support the US AI Leadership image
Moderated by: Hodan Omaar
Senior Policy Manager, Center for Data Innovation
12:00 - 13:00
Networking lunch
13:00 - 13:15
Keynote Speech
Keynote Speech image
Commissioner Melissa Holyoak
Federal Trade Commission
13:15 - 14:00
Session 3 – AI in Practice: Innovation and Real-World Impact

As AI systems evolve rapidly and regulatory landscapes shift, organizations need to remain proactive when it comes to implementing strategies to enable innovation to flourish. This session will convene industry leaders, public sector agencies, and governance experts to explore how AI is being deployed responsibly and at scale across various sectors and what more can be done to unlock the transformative potential of AI for economic growth and societal benefit. Through real-world case studies and expert insights, the discussion will highlight key success factors, challenges, and strategies for AI development and adoption considering evolving regulatory and market dynamics.

 

Key topics of discussion to explore:

  • Diverse examples of AI implementation across various sectors, highlighting the challenges and successes of AI adoption
  • Insights into creating effective AI governance policies that integrate sectoral regulatory compliance and business needs into AI system development and deployment.
  • The importance of defining clear roles within the AI ecosystem and value chain
  • Emerging AI trends – including AI as a Service (AIaaS), open-source tools, and the rise of AI agents – and how these trends are reshaping governance strategies
  • How to best support SMBs and startups in leveraging AI responsibly and effectively
  • Strategies for AI excellence, including talent development, R&D initiatives
  • Overview of the anticipated evolution of AI systems in both the medium and long term and the crucial role of foresight in helping policymakers anticipate and keep pace with technological development
Session 3 – AI in Practice: Innovation and Real-World Impact image
Dr. Sterling Thomas
Chief Scientist, Government Accountability Office (GAO)
Session 3 – AI in Practice: Innovation and Real-World Impact image
Elise Houlik
Chief Privacy Officer, Intuit
Session 3 – AI in Practice: Innovation and Real-World Impact image
Dr. Mike Horton
Chief Artificial Intelligence Officer, U.S. Department of Transportation
Session 3 – AI in Practice: Innovation and Real-World Impact image
Joe Putnik
Senior Congressional Innovation Fellow, TechCongress
Session 3 – AI in Practice: Innovation and Real-World Impact image
Moderated by: John Lynn
Partner, Technology & IP Transactions, Kirkland & Ellis
14:00 - 14:45
Session 4 – Boosting Public Trust and Acceptance of AI

Artificial intelligence is rapidly transforming the way we live, promising increased productivity, innovative solutions to every-day challenges, and enhanced customer experiences. Its benefits are manifold, providing public and private organizations with valuable insights to improve products and services and to address socio-economic issues, but a lack of trust from individuals, the patchwork of regulations and concerns around the impacts on the workforce have affected the public’s acceptance of the technology. This session will discuss the critical intersection of AI’s transformative potential in every aspect of our lives and of the crucial need for public trust and acceptance to build a future where AI benefits all of society.

 

Key topics of discussion to explore:

  • The importance of implementing AI practices that drive innovation while maintaining public confidence
  • Issues around transparency, bias, privacy, data misuse, ethical AI deployment, intellectual property, freedom of expression and legal accountability
  • How organizations can leverage AI to empower workers and retain talent.
  • How concerns about job displacement be best addressed and exploring strategies for reskilling and upskilling the workforce to adapt to the changing demands of an AI-driven economy
  • How AI initiatives that are aligned with key local industries can equitably scale the training of a specialized AI-skilled workforce
  • Ensuring AI benefits are distributed to communities nationwide
Session 4 – Boosting Public Trust and Acceptance of AI image
Stephen Miller
Chief Technology Officer, The Office of the Chief Technology Officer, Government of the District of Columbia
Session 4 – Boosting Public Trust and Acceptance of AI image
Stephanie Ifayemi
Senior Managing Director of Policy, Partnership on AI
Session 4 – Boosting Public Trust and Acceptance of AI image
Abdel Mahmoud
Founder & CEO, Anterior
Session 4 – Boosting Public Trust and Acceptance of AI image
Roman Jankowski
Chief Privacy Officer, U.S. Department of Homeland Security
Session 4 – Boosting Public Trust and Acceptance of AI image
Moderated by: Jonathan Litchman
Co-founder and CEO, The Providence Group
14:45 - 15:15
Coffee Break
15:15 - 17:00
Session 5 – From Competition to Cooperation: The US’ Role in Defining the Global AI Order
15:15 - 16:05
Session 5a – AI, Allies, and Adversaries: Ensuring Innovation, Cooperation, and Security

The race for global AI leadership has intensified as AI continues to reshape economies and national security landscapes. U.S. export control policies, designed to limit the diffusion of advanced AI technologies to strategic competitors like China and Russia, are meant to safeguard national security but may also pose challenges to U.S. competitiveness, innovation, and to its cooperation with allies. How are geopolitics, national security concerns and economic competitiveness driving policy decisions and shaping the global AI landscape?

 

Key topics for discussion:

  • How the U.S. can balance national security with economic leadership while fostering a trusted, innovation-driven AI ecosystem.
  • How geopolitics affects AI development and governance, the extent to which AI is central to competition between China and the US (and its allies), and the geopolitical aspirations of middle powers.
  • The strategic implications of AI export restrictions for U.S. businesses and allies
  • China’s response to AI export controls and rapid advancements in efficient AI training methods (DeepSeek’s implications – Are current export control frameworks, designed to limit access to advanced AI chips and technologies, truly effective in achieving their national security goals? Do they inadvertently stimulate innovation in competitor nations?)
  • The impact of other regional initiatives, like the EU AI Act, which implements strict AI measures for responsible AI development and deployment
Session 5a – AI, Allies, and Adversaries: Ensuring Innovation, Cooperation, and Security image
Brando Benifei
Chair of the Delegation for relations with the United States, European Parliament
Session 5a – AI, Allies, and Adversaries: Ensuring Innovation, Cooperation, and Security image
Gregory C. Allen
Director of the Wadhwani AI Center, Center for Strategic and International Studies (CSIS)
Session 5a – AI, Allies, and Adversaries: Ensuring Innovation, Cooperation, and Security image
Susan Ariel Aaronson
Research Professor of International Affairs, George Washington University
Session 5a – AI, Allies, and Adversaries: Ensuring Innovation, Cooperation, and Security image
Ryan Fedasiuk
Director, U.S. AI Governance, The Future Society
Session 5a – AI, Allies, and Adversaries: Ensuring Innovation, Cooperation, and Security image
Moderated by: Adam Thierer
Senior Fellow, Technology & Innovation, R Street Institute
16:05 - 17:00
Session 5b – Global AI Leadership: How will the US’s approach inform the future of AI globally?

As AI technologies continue to transform societies worldwide, now is a crucial time for the US to strategically position itself within the evolving global AI governance ecosystem. This session will examine how the US can balance technological leadership with collaborative approaches that build trust, foster interoperability, and ensure inclusive development of AI governance frameworks that benefit humanity globally. It will explore the evolving global AI landscape and how the United States can effectively inform and shape global AI cooperation.

Key topics for discussion:

 

  • The expectations of the international community regarding the US’s role in global AI governance
  • Strategies for balancing US technological leadership with the necessity of fostering trust and interoperability within emerging international frameworks.
  • How the US can effectively engage in the growing ecosystem of international AI governance initiatives – including the UN, regional bodies and other international fora (G7, G20, OECD) – navigate the diverse requirements and interrelationships between these initiatives and develop cooperation mechanisms
  • Engaging and strengthening relationships with emerging powers in AI governance, moving beyond competition, to identify opportunities for collaboration in AI development, deployment and adoption
  • Building trust through transparent technological exchange and democratizing access to AI standards development – emphasizing the need for broadening access for governments, industry, and civil society, especially in low- and middle-income countries, to strengthen the legitimacy of these standards and ensure they respond to differing AI needs.
  • Supporting AI development in emerging economies through engagement with international organizations such as the OAS, and the Inter-American Development Bank to drive AI capacity-building to ensure a truly global and representative approach to AI governance.
  • The strategic implications of responsibly exporting AI models to allies and partners to foster their own AI ecosystems
Session 5b – Global AI Leadership: How will the US’s approach inform the future of AI globally? image
Ambassador Karen Kornbluh
Former U.S. Ambassador to the OECD and Former Deputy Director, Office of Science and Technology, The White House
Session 5b – Global AI Leadership: How will the US’s approach inform the future of AI globally? image
Chandler C. Morse
Vice President, Corporate Affairs, Workday
Session 5b – Global AI Leadership: How will the US’s approach inform the future of AI globally? image
César Parga
Chief, Competitiveness, Innovation and Technology Section, Department of Economic Development, Organization of American States
Session 5b – Global AI Leadership: How will the US’s approach inform the future of AI globally? image
Merve Hickok
President, Center for AI and Digital Policy
Session 5b – Global AI Leadership: How will the US’s approach inform the future of AI globally? image
Moderated by: Mike Swift
Chief Global Digital Risk Correspondent, MLex
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