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.

The Generative AI Policy Starter Kit will give 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 input from transportation professionals, it will include 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.

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.

The full kit launches in November, alongside a launch webinar. Until then, two resources are ready to be explored now. The ITE Quick Bite overviews the kit’s contents, and the latest ITE Journal article, available to ITE members, explores two areas that continue to raise practical questions for transportation professionals: copyright and intellectual property, and QA/QC for AI-assisted work.