The AI Summit will define AI and its key components, providing public works professionals with a clear understanding of the terminology and areas of public works already being impacted. Attendees will explore the various engines within AI systems, such as neural networks and machine learning, and consider how AI is trained using data, including the role of large language models. The Summit will also examine the ethical and legal challenges AI presents, addressing risks such as training bias and cybersecurity, while equipping participants with strategies to mitigate these issues. Day two will feature presentations from public works professionals discussing real-world AI applications in different technical areas, followed by an open forum for attendees to share insights, experiences, and next steps for AI in their workplaces. This comprehensive program will demystify AI, facilitate conversations around its future, and offer opportunities for knowledge sharing and collaboration.

Session 1: Defining AI and Its Key Components

Learning Objectives:

  • Define what AI is, which parts of public works it has already impacted, and which are likely to be impacted next.
  • Compare the different ways AI might impact public works over the next five years.
  • Evaluate the benefits and drawbacks of using AI in public works.

Additional Sessions from the AI Summit are available on the Resource Center

AI Summit-How AI Systems are Developed and Trained
AI Summit-Addressing the ethical and legal considerations and potential impacts of AI in public works, while managing resistance to AI in the workplace
AI Summit-AI in Public Works Presentation Series

Links/Handouts:

Discussion Guide

Handout – Day 1

Speakers:

Michael Millette
Director of Public Works
Village of South Elgin, Illinois

Adam Carnow
Industry Specialist for Public Works
Esri

Moderator:

Tracy Warner
Deputy Director of Development Services
Pima County, Arizona

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