Artificial Intelligence Advisory Council Regular Meeting
The Council conducted an orientation for new members and received a briefing on Vermont's AI Code of Ethics, covering topics such as AI impact classifications, bias, transparency, accountability, and security. A significant portion of the meeting was dedicated to reviewing statutory reporting obligations due in 2027, specifically regarding Act 101 and Act 156. Members participated in breakout groups to discuss cross-profession regulation, privacy and privileged communication, legislative drafting definitions, and balancing AI adoption with necessary guardrails, later reporting their findings to the full Council.
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The council meeting covered updates on the AI Economic Task Force, including membership status and task force structure. Significant time was dedicated to analyzing the impacts of recent legislation, specifically H814 and H816, which expand the council's scope to include healthcare, human services, and neurological rights, while adding new members from relevant professional sectors. The group discussed mandated deliverables for the end of the year, including research on AI usage guidelines within professional organizations, methods for increasing public engagement in AI policy development, and the assessment of potential statutory changes related to AI regulation in professional fields.
May 1, 2026·Board meeting
AI Advisory Council Meeting
The council discussed updates to employee guidelines regarding the use of generative artificial intelligence, specifically focusing on expanding the scope to include additional AI modalities such as meeting assistants and embedded AI features in third-party applications. Key concerns addressed include data privacy, security, data residency, and the necessity of prohibiting or removing third-party transcription tools during discussions involving sensitive or non-public information. Additionally, the council explored the feasibility of automated policy notifications during video conferences and clarified responsibilities concerning data handling and retention when utilizing AI tools.
