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Panelists call for AI literacy and explainability training alongside governance
Summary
Panelists urged AI literacy programs for consumers and staff, governance workshops for startups, and better translation between experts and the public to build trust and enable effective oversight.
Panelists at a Massachusetts event urged investment in AI literacy and governance supports for startups as a necessary complement to regulation.
Eunice Talia, an assistant professor, said AI literacy should be broadened beyond higher education to public libraries and other civic institutions so citizens can better understand when they interact with AI. She cited surveys indicating many people cannot tell when content is AI-generated.
Dr. Topring Michelle Pacquato and other panelists recommended governance workshops to help startups implement explainability, documentation, and data practices without stifling innovation. Panelists said explainability can be framed as a governance problem — one that can be solved through standards, training, and shared documentation — rather than an immediate demand to open proprietary models.
Audience members and panelists agreed on practical supports: public-facing education, translated scientific findings, and government-industry-academic partnerships that provide low-cost technical assistance to smaller organizations and nonprofits.
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