{"resourceId":"virginia-ais-instructional-safety-statute-2026","versions":[{"version":"external-c66c97250de9b52cf451128562cec3b4f7e0408ec4524c1e95077bb2b8a30db8","resource":{"id":"virginia-ais-instructional-safety-statute-2026","title":"Virginia Code §22.1-20.2:1: division-managed AIS, transcript monitoring, training bans, and evaluated pilots","organization":"Commonwealth of Virginia (Code of Virginia)","sector":"State statute / education governance","geography":"United States — Virginia","publishedAt":"2026 (Acts of Assembly cc. 937, 943)","publicationDate":"2026-01-01","eventDate":null,"sourceName":"Virginia Legislative Information System","sourceLabel":"Code of Virginia § 22.1-20.2:1","sourceUrl":"https://law.lis.virginia.gov/vacode/title22.1/chapter2/section22.1-20.2:1/","evidenceClass":"standards-guidance","outcomeClass":"emerging","topics":["governance-procurement","data-security","operating-model"],"finding":"Virginia’s 2026 statute directs VDOE to compile instructional AIS uses and post guidance covering FERPA/COPPA privacy, teacher training, transparency, DPAs that prohibit using division or student data to train external AIS models, bias/accessibility practices, and SOL/HQIM alignment. Guidance must favor division-managed AIS platforms in division-managed environments and ensure teachers can access transcripts of student–AIS interactions with administrator dashboards, automated alerts, and audit logs. School boards must implement consistent policies. An AIS Innovation in Education Pilot Program (expires July 1, 2030) funds/evaluates instruction, tutoring, engagement, operations, and teacher-support uses, prioritizing diverse/high-poverty/rural/under-resourced divisions, requiring PD plus evaluation plans for student learning, teacher workload, and equity, with annual legislative reporting.","sledRelevance":"Concrete statutory control stack—managed platforms, no external training, transcript supervision, workload/equity evaluation—that other states and vendors will be measured against.","evidence":"Primary statutory text from LIS; implementation details depend on VDOE guidance and appropriations.","architectureImplications":"Division-managed tenancy, RBAC, transcript storage, monitoring/alerting, and contractual training prohibitions are mandatory design constraints.","governanceImplications":"Board policies must track VDOE guidance; pilots need pre-registered learning/workload/equity measures.","securityPrivacyImplications":"Explicit ban on external model training with student/division data; FERPA/COPPA called out; audit logs required.","caveats":"Guidance content and pilot funding not fully specified in the statute section alone; effective dates/appropriations need local confirmation; not outcome evidence.","streamIds":["k12"],"roles":{"sales":"Sales framing: Virginia’s 2026 AIS instructional-safety statute moves beyond soft guidance: school boards must implement state guidance, prefer division-managed AI platforms that block external model training on student data, and give teachers transcripts plus dashboards/alerts/audit logs for student AI use. The AIS Innovation Pilot Program further requires PD and evaluation plans covering student learning, teacher workload, and equity. Lead with monitorable, division-controlled deployments—not consumer chatbots. Interpretation of statutory text; not legal advice.","engineering":"Engineering framing: Architect for division-managed environments with role-based access, admin oversight, audit logging, and configurable moderation. Contracts must prohibit using division or student data to train external AIS models; instructional AIS should align to Standards of Learning and HQIM. Mandatory teacher-visible transcripts and monitoring dashboards are first-class requirements, not optional analytics add-ons. Interpretation of Code of Virginia §22.1-20.2:1 as opened on LIS.","delivery":"Delivery framing: Expect VDOE guidance compilation plus board policy adoption, then inventory which tools can operate as division-managed platforms with transcript export. Pilot applicants should pre-build evaluation plans for learning, workload, and equity—not vanity usage metrics. Prioritization language favors high-poverty, rural, and under-resourced divisions. Interpretation for Virginia LEAs and vendors selling into the pilot; confirm appropriations and application windows with VDOE."},"roleDetails":{"sales":{"customerProblem":"Virginia divisions need student AI uses that are monitorable, privacy-bounded, curriculum-aligned, and evaluable—not opaque consumer tools.","stakeholders":["school boards","division IT","instructional leaders","teachers","VDOE","vendors"],"discoveryQuestions":["Can teachers export full transcripts of student–AIS interactions today?","Does the DPA forbid external model training on division/student data?","Are dashboards, alerts, and audit logs available to administrators?","For pilots, how will you measure learning, teacher workload, and equity?"],"valueHypothesis":"If vendors deliver division-managed, transcript-visible AIS with no external training on student data, Virginia divisions can meet statutory guardrails while piloting instruction/tutoring uses.","potentialEngagement":"Readiness assessment mapping current AI tools to division-managed criteria and drafting a pilot evaluation plan template.","unsupportedClaims":["That any education chatbot automatically qualifies as a division-managed AIS platform","Guaranteed pilot funding without appropriation/selection","That monitoring alone ensures developmental safety"]},"engineering":{"fit":"Virginia public school divisions and vendors targeting VDOE’s AIS pilot; informative for other states writing monitoring mandates.","architectureIntegration":"Deploy AIS inside division-managed tenancy; RBAC; transcript store accessible to teachers; admin dashboards/alerts/audit logs; SOL/HQIM content alignment.","prerequisites":["Board policies consistent with VDOE guidance","DPAs banning external training","Teacher PD on AIS literacy","Evaluation instrumentation"],"constraints":["Pilot expires July 1, 2030","Guidance details set by Department","High-stakes decisions cannot rely solely on AIS"],"security":"FERPA/COPPA compliance; prohibit external model training on student/division data; audit logging and moderation controls.","proofOfValue":["Teacher can open a student transcript within minutes","Pen-test shows no student data leaving for vendor training","Pilot eval plan covers learning, workload, equity"]},"delivery":{"work":"Align board policy to VDOE guidance, migrate student AI to division-managed platforms, enable transcript/monitoring, and prepare pilot evaluation designs.","dependencies":["VDOE guidance publication","vendor roadmap for transcript APIs","funding for Pilot Program","PD calendar"],"ownership":"Board owns policy; IT owns platform controls; instruction owns SOL alignment; evaluation owns impact measurement.","skillsAdoption":"Train teachers to review transcripts and use dashboards as formative supervision, not only after incidents.","governanceCheckpoints":["Guidance gap analysis","DPA renegotiation","Pre-pilot eval plan approval","Annual Dec. 1 reporting inputs"],"acceptanceCriteria":["100% student AIS tools provide teacher transcript access","Contracts ban external training","Monitoring dashboards live for admins"],"risks":["Legacy tools cannot export transcripts","Vendors resist training bans","Monitoring creates privacy/labor disputes if poorly scoped"]}},"retrievedAt":"2026-09-28T22:06:30-05:00","enrichedAt":"2026-09-28T22:10:30-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Guidance must address equitable access and accessibility of AIS resources; pilots prioritize under-resourced divisions.","procurementImplications":"Prefer platforms that can operate as division-managed with transcript/monitoring APIs and training bans in DPAs.","operatingModelImplications":"Teacher supervision via transcripts/dashboards becomes an operational duty, not an optional analytics upgrade.","sourceVerification":{"openedUrl":"https://law.lis.virginia.gov/vacode/title22.1/chapter2/section22.1-20.2:1/","referenceExcerpt":"prohibits the use of any division-level or student data for training or improving any external AIS models","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}