The Joint Committee on Information Management and Technology convened on April 11, 2025, to discuss the implications of artificial intelligence (AI) in Oregon's public sector. The meeting highlighted the state's proactive approach to integrating AI while addressing potential risks associated with its use.

The session began with a presentation from TriMet, Oregon's largest public transit provider, which emphasized its membership in the government AI coalition. This coalition, comprising local, state, and federal agencies, aims to promote responsible AI usage in the public sector. TriMet representatives noted the importance of developing internal AI policies to navigate the increasing presence of AI vendors and the associated cybersecurity threats. They underscored the need for evidence-based policies to protect local governments from potential scams and to harness AI's efficiency benefits.

Katie Tyson from the Oregon AFL-CIO followed, representing over 300,000 workers statewide. She stressed the necessity for Oregon to be proactive regarding automation and AI, advocating for the technology to enhance rather than replace human labor. Tyson expressed gratitude to the bill's sponsors for incorporating worker feedback and highlighted the importance of human oversight in AI systems, particularly concerning equity and ethics. She called for ongoing community engagement and the inclusion of frontline workers in discussions about AI implementation.

The meeting also featured Skip Newberry, president and CEO of the Technology Association of Oregon, who contributed to the dialogue on the importance of collaboration among stakeholders to ensure that AI serves the public good.

Overall, the committee's discussions reflected a commitment to developing a framework that balances innovation with the protection of workers and the public. The meeting concluded with a call for continued support of legislative efforts aimed at establishing guidelines for AI use in Oregon, ensuring that the technology benefits all Oregonians while mitigating risks.