The Generative AI Policy Starter Kit is Here

November 5, 2026 • 1 minute read
Woman lifting bicycle into a train as she boards

The Generative AI Policy Starter Kit is Here

November 5, 2026 • 1 minute read
Earlier this year, we shared that we were working with other members of the Institute of Transportation Engineers’ (ITE) AI in Transportation Great Idea Group (AI GIG) to develop practical guidance for organizations using generative AI. Today, the Generative AI Policy Starter Kit is available.

The kit gives agencies, firms, and other organizations a place to start when developing or refining their own AI guidance, along with takeaways individuals can apply in their everyday use of AI. Informed by facilitated discussions with four ITE chapters, input form members at the 2026 Joint ITE International and Great Lakes District Annual Meeting and Exhibition, and an online AI readiness survey, it includes considerations, case studies, sample policy language, and helpful checklists across three areas:

  • Organizational Governance: Who can use what, who makes decisions, and who signs off.
  • Secure Use: How to evaluate tools, handle data safely, and protect sensitive information.
  • Practical Use: Professional responsibility, staff development, copyright and intellectual property, and QA/QC for AI-assisted work.
Diagram of the Generative AI Policy Starter Kit, organized around three areas: organizational governance, secure use, and practical use. It addresses questions about accountability, AI inputs, system security, and the ownership and reliability of AI outputs.

The goal is not simply to put a policy on paper. It is to help organizations create guidance people can understand and use in practice, while keeping professional accountability where it belongs.

We led this volunteer effort and contributed a governance case study from our own firm, sharing how we’re approaching AI governance through clear ownership, input from across the company, and leadership checkpoints as our practices continue to evolve.

Explore the kit. It’s available in two forms: an ITE Technical Brief and an interactive website version where you can move through the guidance at your own pace.

Want a quick preview first? The ITE Quick Bite offers an overview of the kit’s contents, and the October ITE Journal article, available to ITE members, explores copyright and intellectual property and QA/QC for AI-assisted work.

share this article

Connect with our Contributors

headshot of Krystle Li

Krystle Li

Creative Designer

Email Me

headshot of Andy Kosinski

Andy Kosinski

Principal

PE

Email Me

Explore More

Understanding AI’s Role in Transportation Safety

Understanding AI’s Role in Transportation Safety

AI is giving transportation safety practitioners new ways to analyze data, detect near misses, and respond to risk before crashes happen. Real-world examples from Bellevue, WA and San Bernardino, CA show where AI-supported technology is delivering value—and where human judgment remains essential for turning data into responsible safety decisions.

New NCHRP Toolkit Helps Agencies Build Safety Into Everyday Decisions

New NCHRP Toolkit Helps Agencies Build Safety Into Everyday Decisions

Making streets safer takes more than individual projects. Our new Safe System approach toolkit, developed through NCHRP Research Report 1181, helps agencies integrate safety into policies, budgets, design standards, and land use decisions. Explore practical tools, real-world case studies, and new IIHS Safe System success stories that show how agencies are turning safety into standard practice.

Announcing Safety Multipliers

Announcing Safety Multipliers

What do San Francisco’s Van Ness BRT, New York’s congestion pricing, and Arlington’s intersection program have in common? Each pulls all three Safe System levers at once. We call that pattern a safety multiplier.