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Utah’s Responsible AI Community Consortium Unveils AI Leadership Blueprint


Utah's Responsible AI Community Consortium on September 8, 2025, released its AI Leadership Blueprint, a practical, step-by-step guide developed specifically for organizations to adopt and manage artificial intelligence (AI) responsibly. The consortium is among the first state-level groups in the nation to publish a comprehensive, community-driven resource focused on preparing its workforce for the opportunities and challenges of AI.

“The blueprint is the result of deep work across our special interest groups, from workforce and education to infrastructure and policy,” said Penny Atkins, Ph.D., a founding member of the consortium and the director of research and science at the University of Utah’s Scientific Computing and Imaging Institute, home of the One-U Responsible AI Initiative. “It’s been thoughtfully designed to meet organizations where they are—so responsible AI isn’t a theoretical goal, but a shared, actionable framework for Utah.”

Created by the consortium’s Workforce & Education Special Interest Group (SIG), the blueprint distills complex AI topics into accessible guidance on leadership, risk management, policy development, and workforce training—making responsible AI adoption achievable for organizations of all sizes across Utah.

“AI readiness isn’t about having the right tools—it’s about having the right judgment,” said Kevin Williams, CEO of Ascend AI Labs, co-leader of the Workforce SIG, and founding member of the consortium. “This blueprint gives Utah leaders a practical way to govern AI use before it becomes a liability.”

The blueprint reflects the consortium’s broader mission to unite Utah’s AI ecosystem in building technology that is effective, ethical, and inclusive. In parallel, the Infrastructure SIG is advancing scalable, transparent AI systems, mapping statewide infrastructure gaps, and hosting technical workshops throughout the year.

The blueprint also furthers broader state efforts to prepare an AI-ready workforce and position the state as a leader in AI. In March 2025, Utah leaders signed an agreement with accelerated computing and AI company NVIDIA to equip universities, community colleges and adult education programs with the resources to develop students’ and workers’ skills in generative AI.

"Utah organizations are grappling with new uncertainty around workforce planning as AI reshapes industries,” said Zachary Boyd, Ph.D., director at Utah's Office of Artificial Intelligence Policy and founding member of the consortium. “Leaders need to thoughtfully address how to build AI capabilities while supporting their employees through significant changes. I'm thankful to the Workforce SIG for preparing this blueprint, which contains a range of expert viewpoints and will help our state's organizations navigate these challenges in a responsible, structured way."

About the Responsible AI Community Consortium

The Responsible AI Community Consortium and its special interest groups bring together people from across academia, government, industry, and the greater community to promote the responsible development and use of AI. The University of Utah One-U Responsible AI Initiative at the Scientific Computing and Imaging Institute launched and continues to support this effort. The consortium is an independent, volunteer-led cooperative committed to advancing AI literacy, workforce development, and ethical innovation in Utah and beyond.


Banner image: Co-author Kevin Williams announces the blueprint at the One-U Responsible AI Initiative Annual Symposium on September 12, 2025.

EXCERPT

The AI Leadership Blueprint: A Practical Guide to Responsible Workforce Transformation

Executive Summary

The AI Leadership Blueprint equips education leaders, workforce development leaders, industry partners, and public sector leaders with a practical roadmap for integrating generative AI (GenAI) responsibly and effectively. With AI adoption accelerating rapidly across all sectors, these critical partners in workforce and education ecosystems must act strategically to harness AI's potential while managing significant risks.

Why This Matters Now

  • AI adoption has reached a tipping point — Nearly 40% of adults adopted GenAI within two years, outpacing smartphones and other major technological advances (Bick et al., 2024), signaling that AI integration is inevitable, not optional
  • The workforce is already using AI — 60% of adults and nearly three-quarters of those under 30 use AI to search for information at least some of the time (O'Brien & Sanders, 2025), demonstrating widespread familiarity that education and workforce systems must address
  • Unauthorized AI use creates immediate risks — More than half of employees say they would use AI tools at work without their company's authorization (Beauchene et al., 2025), exposing organizations to data breaches, compliance violations, and inconsistent practices

Who This Blueprint Is For

  • Education Leaders — K–12, higher education, and training institutions shaping AI curriculum and institutional readiness
  • Workforce Development Leaders — HR executives, training managers, and workforce system leaders designing AI skills programs
  • Industry & Business Partners — employers and sector leaders aligning AI investments with workforce needs
  • Public Sector Partners — government agencies, workforce boards, and policy makers supporting workforce and education AI adoption

What This Blueprint Provides

  • Decision-Making Frameworks that help organizations assess readiness, risks, and opportunities before AI implementation
  • Workforce Training Strategies that build AI literacy and applied skills systematically across all organizational levels
  • Governance & Integration Guidance that aligns AI use with established ethical standards and regulatory requirements
  • ROI & Sustainability Tools that measure implementation value and ensure long-term organizational viability

Scope of the Blueprint

This blueprint covers the full lifecycle of AI adoption through four focused areas:

  • Foundation & Governance: Structure & Leadership, Policy Development, Risk Management
  • Readiness & Assessment: AI Readiness Assessment, People/Tools/Technology Evaluation
  • Implementation & Training: Training Program Development, Integration & Change Management
  • Value & Sustainability: ROI Measurement, Forward Planning, Distribution & Engagement

Our Goal

This blueprint enables education and workforce ecosystems to adopt AI ethically, inclusively, and strategically, ensuring AI serves as a sustainable organizational asset that drives innovation, strengthens institutional capacity, and prepares people for evolving work environments.

Continue Reading the Blueprint

Blueprint Coverage in the News Media

Wired West: Why AI Needs More Than Tech Experts at the Table
November 12, 2025

Penny Atkins serves as the director of research and science for the University of Utah Scientific Computing and Imaging Institute,...

Wired West: AI at Work—Building Utah’s Blueprint for Responsible Innovation
November 5, 2025

Robin Huling and Kevin Williams co-lead the Utah Responsible AI Community Consortium Workforce Development and Education Special Interest Group, which...

KSLTV: Group Hopes AI ‘Blueprint’ Will Lead Utah Businesses, Workers to Brighter Future
September 24, 2025

Watch the story on KSLTV.

TechBuzz News: Utah Releases AI Leadership Blueprint, Setting National Standard for Responsible AI Adoption
September 13, 2025

Read the article on TechBuzz.