Addressing displacement, accessibility, energy and the environment — the most requested “tough questions” about AI.

State and local governments increasingly collect large amounts of program, operational, and community data, yet many agencies still struggle to translate that information into continuous improvement, adaptive management, and better public outcomes. At the same time, government leaders and program managers are under growing pressure to demonstrate the ongoing value and worthiness of their programs to elected officials, funders, community stakeholders, and the public, often in rapidly changing political, fiscal, and operational environments.
This three-part series focuses less on technical evaluation methods alone and more on how government leaders and program managers can use data, evidence, community feedback, and AI-supported insights to strengthen decision-making, demonstrate program value and relevance in real time, adapt programs over time, and improve service delivery. The series combines practical frameworks, real-world government examples, and moderated discussions with practitioners using these approaches across state and local government settings.

A weekly, hands-on practice lab led by public-sector AI leaders, using real prompts and real challenges across platforms to build practical skills.

The series brings together timely conversations on leadership, technology, service delivery, organizational design, and governance, always grounded in the realities of public sector work. 

Amplify equips public-sector professionals with clear, credible communication skills through expert workshops and coaching for the AI era and beyond.

Learn when new forms of automation, analysis and prediction work and when they don’t and how to tell the difference. Co-hosted with Princeton CITP.

Understanding what “public AI” is, why it matters, how governments build it, and practical strategies to ensure independence and avoid vendor lock-in.

These workshops highlight leading InnovateUS speakers and provide practical insights, lessons, and core guidance tailored to public sector challenges.

How to improve data accessibility and interoperability to support responsible AI development while safeguarding privacy, security, and public trust.

Applying AI to legal work and attorney general functions responsibly and effectively.

Exploring AI’s role in improving transit operations, safety, planning, and customer experience.

Applying design thinking to public challenges, including examples of AI-assisted service design.

Using AI to clean, analyze, and visualize public data for evidence-based decisions.

AI for Literacy Achievement AI brings together recorded workshops on how educators, public professionals, communities, and caregivers can use AI to support stronger literacy outcomes. These sessions explore practical ways AI can help expand access to reading support, personalize learning, strengthen educator capacity, and better identify where students need help. Designed for people working to improve literacy achievement, especially for children who have been underserved by traditional systems, this collection offers real examples, clear strategies, and grounded conversations about how to use emerging technology responsibly and effectively.

The energy footprint of AI, sustainability and efficiency strategies, and implications for public policy.

Leveraging AI-assisted tools to evaluate and improve accessibility in public digital services.

Applying AI to enhance benefits delivery, case management, and service design, emphasizing ethical use, equity, and improved outcomes for all.

Learn how to design effective and efficient AI-enhanced citizen engagement that translates public input into meaningful outcomes.

Innovating in the Public Interest is a six-part workshop series, in partnership with the Pi-Squared Initiative, focused on helping public sector professionals collaborate effectively with private organizations. Participants learn practical strategies for identifying partners, aligning goals, and building scalable, mission-driven collaborations.

This three-part UX Practices and Talent series is designed to help city government leaders understand how user experience (UX) practices can improve the way public services are designed and delivered.

Join Anita McGahan for a five-session series designed to help public professionals strengthen the foundations of collaboration so they can work more effectively with colleagues and achieve better outcomes with less friction. Across the sessions, participants will explore practical strategies for building trust, improving coordination, and navigating the interpersonal and organizational challenges that often make teamwork harder than it needs to be.

Explore how governments can build, improve, and govern digital products using AI and stronger internal capacity.

Build clear, credible, and accessible communication strategies for explaining public programs, services, and AI use.

Use AI to responsibly support hiring, onboarding, workforce planning, and talent management while protecting fairness and human judgment.

Examine when using predictive AI can improve public-sector decisions, when it falls short, and what safeguards responsible use requires.

Introduces public health leaders and practitioners to policies, tools, and skills to improve the health and well-being of our communities.

Learn the security challenges posed by the use of AI in government and public-facing settings and how to reduce vulnerabilities.

Build practical skills to leverage AI to improve competitiveness, effectiveness, and efficiency in procurement.

Learn how to engage workers as partners in AI adoption to improve implementation, governance, and public outcomes.

Learn what AI agents are, how they can support government operations and public service delivery, and their responsible use.

Learn how to assess whether AI tools improve outcomes, strengthen services, and deliver public value over time.

Explore responsible uses of AI in government legal work, including research, drafting, document review, compliance, and policy analysis.

Examine the energy and environmental challenges and opportunities of AI-related infrastructure and public-sector uses of AI.