Using Coding Agents & Local AI Models in Transportation Agencies explores practical ways transportation professionals can use AI coding agents, open-source language models, and locally deployed tools even without traditional programming backgrounds.

AI can improve day-to-day work while protecting sensitive data and maintaining confidence in results. Presenters will share examples from a state DOT inspection form digitization system and privacy-preserving transportation plan review workflows.

Hosted by the Transportation Research Board (TRB), presenters will also discuss how transportation domain experts can build, evaluate, and apply AI tools while managing considerations related to accuracy, confidentiality, cost, and performance, including when commercial AI services or local and open-source models may be appropriate.

Learning Objectives:

• Identify opportunities, limitations, & potential failure points when applying AI
• Evaluate when commercial AI services are appropriate

Presenters:

• Mike Copeland, Idaho Transportation Department
• David Wasserman, Sand Technologies
• Kristin Eklöf, Salbo.ai (Moderator)
  
  

Complimentary registration is available for employees of TRB sponsors, standing technical committee chairs, involved CRP panel members, tribal government employees, media, congressional staff, & TRB or National Academies staff.

Register to Attend