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Board continues AI education series; Google and faculty outline AI literacy, access and assessment issues
Summary
The Board hosted speakers from Google and faculty members to discuss integrating generative AI into teaching, workforce credentials and data literacy; presenters emphasized equitable access, assessment redesign, and faculty professional development.
The Board's AI education series continued on May 19 with a session on generative AI and higher education led by Vice Chancellor Craig Hayward and featuring Stephen Bucci (Google) and Sanjay Dore Raj (San Jose City College). Presenters discussed how AI tools can support tutoring, personalized learning and workforce preparation while raising questions about assessment integrity, data governance and equitable access.
Key points: Bucci outlined public-facing AI applications (flood forecasting, traffic signal optimization) and education-facing products (Notebook LM, Learn LM) designed to reduce hallucinations by constraining models to verified course materials. He emphasized vendor commitments to privacy controls (FedRAMP / FERPA / GDPR) and the need to integrate AI tools into single-sign-on and LMS systems. Sanjay described a framework to deliver data analytics and AI certificates and argued that rapid faculty engagement is needed to build living curricula and close an emergent 'AI divide.'
Faculty and board concerns: Governors and faculty raised questions about students becoming merely consumers of proprietary tools rather than creators (ownership and entrepreneurship), academic integrity in an era of generative AI, and support for students with disabilities. Members pressed for concrete, validated certificate pathways (employer-recognized credentials) and for faculty-oriented professional development. Several board members urged that libraries, librarians and information-literacy training be central to any rollout.
Next steps: The Chancellor's Office is rolling out AI literacy micro-credentials for educators, piloting faculty professional development and proposing a validation framework for certificates (faculty focus groups, employer consortium validation). Speakers recommended continued pilot funding, stronger faculty involvement and transparent data-governance controls before broader systemwide deployment.
