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Data board emphasizes data-quality and governance as Connecticut AI bill moves forward
Summary
Members discussed existing responsible-AI guidance and a legislative proposal (Senate Bill 1249) that would require data-quality and governance policies for datasets used with AI; the P20 WIN data-governance board approved a data-quality policy cited as a model.
The Connecticut Data Analysis Technology Advisory Board on March 20 said it is advancing data-quality and governance work to support responsible use of artificial intelligence as a legislative proposal moves through the General Assembly.
Scott Collin, chief data officer and board chair, reminded members that the state issued a responsible-AI framework in February of the previous year, developed by the Office of Policy and Management and the Department of Administrative Services and intended to apply across executive-branch agencies.
Collin said one provision in a governor-sponsored legislative proposal, referenced in the meeting as Senate Bill 1249, would require agencies to create policies for data quality and data governance to support any use of AI. “If that makes it through the legislative session, then there’ll be law,” Collin said, describing the bill as including data-governance provisions.
The board noted prior work: the P20 WIN data-governing board recently approved a data-quality policy for the 15 agencies that participate in that longitudinal system; Collin described that approval as a foothold for broader enterprise policies. Members suggested a deeper, separate discussion on AI and implementation details; board member Thad Demkowski recommended convening a dedicated meeting on AI topics and implementation if feasible.
Officials said quarterly meetings of agency data officers and continued work on governance and implementation will continue regardless of legislative outcomes, and the board expects more detailed next steps later in the year.
