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Bill

HJ 32

Higher educational institutions; JLARC to study artificial intelligence use policies.

2026 Regular Session Introduced by Rae Cousins and 5 co-sponsors

Virginia directs JLARC to study how higher education institutions develop and use artificial intelligence policies to inform future governance standards.

Agreed to by Senate Block Vote (Voice Vote)
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Bill Summary · HJ 32

Legislative bill overview

HJ 32 directs the Joint Legislative Audit and Review Commission (JLARC) to conduct a comprehensive study of artificial intelligence use policies at Virginia's higher education institutions. The study will examine how colleges and universities are currently implementing, regulating, and governing AI tools across academic and administrative operations.

Why is this important

As AI tools become increasingly integrated into education—from student learning platforms to administrative systems—policymakers need data on institutional practices to develop consistent standards. This study could inform future legislation on AI governance, academic integrity, data privacy, and equitable access to AI technologies across Virginia's higher education system.

Potential points of contention

  • Scope and cost: Determining whether the study should be narrow (focused on one sector) or broad (covering all AI applications) affects timeline and budget implications
  • Regulatory outcomes: Some institutions may resist oversight, while others may advocate for stronger state-level AI governance standards
  • Timeline pressure: Rapid AI development means study findings could become outdated; balancing thoroughness with speed is challenging
  • Implementation focus: Disagreement over whether recommendations should be advisory or require mandatory institutional compliance

Compiled from official sources — confirm details with the bill’s official record.

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