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January 29-30 - Washington, D.C.

*Due to weather conditions*

Day One of AI-Ready America will be hosted virtually.

*Due to weather conditions*

Day One of AI-Ready America will be hosted virtually.


The workshop will proceed as scheduled, with live keynotes, lightning talks, and facilitated working sessions held via Zoom. All registered participants should join using the link shared with you directly.

The workshop will proceed as scheduled, with live keynotes, lightning talks, and facilitated working sessions held via Zoom. All registered participants should join using the link shared with you directly.

AI-Ready America is hosted by SeedAI, with support from the Alfred P. Sloan Foundation and the US National Science Foundation.

What is Ai-Ready America?

A two-day workshop to develop recommendations on accelerating AI diffusion, access, and adoption for all Americans. This workshop will bring together practitioners and stakeholders across government, industry, academia, philanthropy, and civil society, and feature participation from leadership at the National Science Foundation and other federal agencies.

THE CHALLENGE

While AI initiatives are rapidly expanding across industry and at federal and state levels, the diffusion ecosystem needed to achieve nationwide AI-readiness is lagging behind. This prevents the United States from mobilizing its full potential for AI competitiveness.

U.S. leadership in AI depends not only on breakthrough innovations, but also on equipping every American – individuals, local communities, and businesses alike – with AI tools, knowledge, and opportunity.

Featured Speakers

Featured Speakers

Dr. Karl Martin

Dean & Director, 
UW-Madison Division of Extension

AJ Segal

Public Sector AI Center Lead, Scale AI

Dr. Erwin
Gianchandani

Assistant Director of the Directorate for Technology, Innovation and Partnerships, National Science Foundation

Dr. Ellen Zegura

Acting Assistant Director for the Computer and Information Science and Engineering Directorate, National Science Foundation

Dr. James L.
Moore III

Assistant Director for the Directorate for STEM Education, National Science Foundation

Taylor Stockton

Chief Innovation Officer Department of Labor

Chief Innovation Officer, Department of Labor

Agenda

day one

day two

9:00 – 9:30 AM
Registration & Breakfast

9:30 – 10:15 AM
Welcome — Austin Carson (SeedAI)
Opening Remarks — Dr. Erwin Gianchandani (NSF)
Keynote Address — Dr. Karl Martin (UW-Madison)

10:15 – 10:25 AM
Workshop Structure & Logistics
Transition to Breakout Rooms

Session I: State & Local Coordination
Some of the most promising AI adoption work is happening at the state and local level, where proximity to communities, businesses, and institutions allows for tailored approaches. This session will explore what's working in regions that have made progress, what coordination infrastructure is needed to support these efforts, and how successful models can be adapted for places with fewer resources or less existing momentum.

10:25 – 11:10 AM
Lightning Talks —
• Dr. Fran Berman (UMass)
• Julia Wynn & Krista D'Amelio (Code.org)
• Jennifer Shieh (SBA)
• Dr. Aaron Weibe (Extension Foundation)

11:10 – 11:50 AM
Moderated Audience Q&A

12:00 – 1:00 PM
Lunch

1:00 – 2:05 PM
Facilitated Table Discussions
State and Local AI Adoption, Coordination, and Capacity

Session II: Nation-Scale Efforts
Making America truly AI-ready will require more than a collection of local efforts. This session examines what kinds of national coordination, shared infrastructure, and cross-sector partnerships are needed to accelerate AI diffusion broadly, and how existing federal programs and established networks can be effectively leveraged to reach every community.

2:10 – 2:55 PM
Lightning Talks —
• Dr. Florence Hudson (Data Science Institute)
• Dr. Laura Biven (Jefferson Lab)
• Shalin Jyotishi (New America)

2:55 – 3:35 PM
Moderated Audience Q&A

3:35 – 4:40 PM
Facilitated Table Discussions
National Coordination, Infrastructure, and AI Diffusion

4:40 – 4:45 PM
Day 1 Wrap-Up & Day 2 Preview

5:00 – 6:30 PM
Networking Reception at Circa (Foggy Bottom)

2221 I St NW
Washington, DC 20037

day one

day two

9:00 – 9:30 AM
Registration & Breakfast

9:30 – 10:15 AM
Welcome — Austin Carson (SeedAI)
Opening Remarks — Dr. Erwin Gianchandani (NSF)
Keynote Address — Dr. Karl Martin (UW-Madison)

10:15 – 10:25 AM
Workshop Structure & Logistics
Transition to Breakout Rooms

Session I: State & Local Coordination
Some of the most promising AI adoption work is happening at the state and local level, where proximity to communities, businesses, and institutions allows for tailored approaches. This session will explore what's working in regions that have made progress, what coordination infrastructure is needed to support these efforts, and how successful models can be adapted for places with fewer resources or less existing momentum.

10:25 – 11:10 AM
Lightning Talks —
• Dr. Fran Berman (UMass)
• Julia Wynn & Krista D'Amelio (Code.org)
• Jennifer Shieh (SBA)
• Dr. Aaron Weibe (Extension Foundation)

11:10 – 11:50 AM
Moderated Audience Q&A

12:00 – 1:00 PM
Lunch

1:00 – 2:05 PM
Facilitated Table Discussions
State and Local AI Adoption, Coordination, and Capacity

Session II: Nation-Scale Efforts
Making America truly AI-ready will require more than a collection of local efforts. This session examines what kinds of national coordination, shared infrastructure, and cross-sector partnerships are needed to accelerate AI diffusion broadly, and how existing federal programs and established networks can be effectively leveraged to reach every community.

2:10 – 2:55 PM
Lightning Talks —
• Dr. Florence Hudson (Data Science Institute)
• Dr. Laura Biven (Jefferson Lab)
• Shalin Jyotishi (New America)

2:55 – 3:35 PM
Moderated Audience Q&A

3:35 – 4:40 PM
Facilitated Table Discussions
National Coordination, Infrastructure, and AI Diffusion

4:40 – 4:45 PM
Day 1 Wrap-Up & Day 2 Preview

5:00 – 6:30 PM
Networking Reception at Circa (Foggy Bottom)

2221 I St NW
Washington, DC 20037

day one

day two

9:00 – 9:30 AM
Registration & Breakfast

9:30 – 10:05 AM
Welcome — Josh New (SeedAI)
Opening Remarks — Dr. James Moore (NSF), Dr. Ellen Zegura (NSF)
Keynote — AJ Segal (ScaleAI)

10:05 – 10:15 AM
Workshop Structure & Logistics
Transition

Session III: Domain-Specific Strategies for AI Readiness
Different domains have developed distinctive approaches to AI readiness based on their unique constraints, user needs, and institutional contexts. This session draws on experiences from practitioners across several fields to surface practical insights about what's actually working on the ground, and to identify lessons that might translate across sectors and settings.

10:15 – 11:00 AM
Lightning Talks —
• Tim Toomey (Accenture)
• Anjelica Dortch (ICBA)
• Dr. Odest (Chad) Jenkins (UMichigan)
• Melissa Hopkins (John Hopkins)

11:00 – 11:40 AM
Moderated Audience Q&A

12:00 – 1:00 PM
Lunch
Lunch Keynote — Taylor Stockton (Department of Labor)

1:00 – 2:05 PM
Facilitated Table Discussions
Sector-Specific AI Adoption & Barriers

Session IV: AI Literacy & Learning Pathways
Building an AI-ready America means equipping not just students but workers, small business owners, local leaders, and community members with the knowledge to use these tools effectively. This session focuses on what it takes to build sustainable training infrastructure across these populations, who is positioned to train the trainers, and how to design learning pathways that remain relevant as the technology evolves.

2:10 – 2:55 PM
Lightning Talks —
• Dr. Talitha Washington (Howard University)
• Dr. Grant Von Eaton (Teach for America)
• Dr. Margie Vela (AWS)
• Dr. Venu Govindaraju (National AI Institute for Exceptional Education)
• Dr. Rubella Goswami (NIFA)

2:55 – 3:35 PM
Moderated Audience Q&A

3:35 – 4:40 PM
Facilitated Table Discussions
AI Literacy, Workforce Development, and Training Infrastructure

4:40 – 4:45 PM
Closing Remarks & Next Steps

4:45 PM
Adjourn

outcomes

The workshop will produce three primary deliverables to guide future AI diffusion efforts and inform federal agency activities.

I. Summary Paper with Actionable Recommendations

A comprehensive report providing concrete recommendations for policymakers at all levels of government, as well as industry, academic, and community stakeholders. The paper will address each of the four workshop topic areas and identify specific actions, responsible parties, and implementation pathways.

II. Statement of Principles

A framework document that participating organizations can endorse to align their independent efforts around AI diffusion, literacy, and adoption. This statement will establish a baseline for shared goals, coordination mechanisms, and commitments that can inform future memoranda of understanding.

III. Roadmap for Future Coordination

Identification of priority topics for follow-on workshops—such as AI literacy curriculum development, use case gaps in AI applications, and implementation pilots at scale—including proposed timelines, participants, and coordination needs.

Who is participating?

The workshop will convene approximately 90 stakeholders representing diverse perspectives and expertise essential to building nationwide AI infrastructure. Expected participant groups include: 

Federal Agencies

Key leaders from NSF, Department of Labor, Department of Education, Department of Commerce, USDA, and Small Business Administration.

State & Local Government

State officials, community-based organizations, and regional workforce boards focused on implementation and local coordination.

Education Partners

K-12 education associations, community colleges, Hispanic-Serving Institutions, Historically Black Colleges and Universities, and Tribal Colleges.

Industry & Philanthropy

Technology companies, industry consortia, and philanthropic foundations engaged in AI education and workforce development.

Community Organizations

Organizations with experience serving underrepresented communities and implementing technology education programs.

Independent Experts

Researchers and practitioners with expertise in technology diffusion, community implementation, and AI literacy.

(Information about featured speakers will be announced soon)

Logistics

Dates
January 29th & 30th

Location
Milken Institute School of Public Health - Convening Center

950 New Hampshire Ave, NW
Washington, DC 20052

Schedule
January 29th: 9:00 AM - 4:00 PM
January 30th: 9:00 AM - 4:00 PM

(Full agenda will be shared with participants)

Additional Details
Information about accessibility, parking, and other logistics will be shared with invited participants as details are finalized.

Questions?
Contact josh@seedai.org

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AI-Ready America

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AI-Ready America

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AI-Ready America