An Act to amend the Code of Virginia by adding a section numbered 22.1-20.2:1, relating to Department of Education; artificial intelligence system use in instructional settings; development of AIS safety guidance required; AIS Innovation in Education Pilot Program established; report.
HB1186 directs the Virginia Department of Education to gather information on how artificial intelligence systems are currently being used for student instruction in public schools and to publish guidance on the safe, ethical, and equitable use of AI in instructional settings. The guidance must address student privacy and security, teacher training, transparency, bias and discrimination, accessibility, and alignment with the Standards of Learning and high-quality instructional materials. It also must include recommendations for guardrails, especially favoring division-managed AI platforms operating within school division-controlled environments.
The bill further requires that approved AI instructional tools give teachers access to transcripts of student interactions and allow monitoring through dashboards, automated alerts, and audit logs. School boards must adopt policies consistent with the state guidance, and the bill establishes an AIS Innovation in Education Pilot Program to support implementation and experimentation with AI in schools. The measure is aimed at creating a statewide framework for responsible AI use in K-12 education rather than banning or broadly restricting the technology.
HB1186 adds § 22.1-20.2:1 to the Code of Virginia, creating new duties for the Department of Education and local school boards regarding artificial intelligence in public elementary and secondary schools. It expands state education policy by requiring statewide guidance on AI use, student-data protections, educator oversight, and school division policies, while also establishing a pilot program to test AI innovation in education. The bill affects school divisions, vendors of educational AI tools, teachers, administrators, and students by setting expectations for privacy, transparency, monitoring, and compliance with federal student privacy laws such as FERPA and COPPA.
The overall sentiment reflected by the bill is supportive and proactive, with the legislature choosing to encourage AI use in education while putting safety and accountability measures in place. The absence of recorded committee debate or votes suggests there was no documented public controversy in the provided materials, and the bill’s enactment indicates it received sufficient support to become law. The framing of the measure emphasizes modernization, responsible innovation, and protection of students rather than opposition to AI itself.
The main points of potential contention are the scope of state oversight, the privacy obligations imposed on school divisions and vendors, and the operational burden of monitoring AI use in classrooms. Stakeholders concerned about student data collection may focus on the bill’s requirements for data privacy agreements, transcript access, audit logs, and prohibitions on using school or student data to train external models. Others may question the feasibility of implementing division-managed AI platforms, the costs of compliance and professional development, or how the Department will define and police high-stakes decisions and equitable access. No specific opposing groups or recorded disagreements are included in the provided transcripts or votes.