Updated – October 16, 2026

Analysis:

The Florida State Board of Education has adopted amendments to Rule 6A-1.0957, the Internet Safety Policy rule, governing the use of artificial intelligence in Florida public schools. The amendments take effect October 29, 2026. By July 1, 2027, every district school board and charter school governing board must adopt and implement AI-specific amendments to its internet safety policy. The separate requirement to review and approve the internet safety policy annually by September 1 also remains in place. While the rule’s stated purpose, protecting students from unsafe uses of artificial intelligence, is laudable, several provisions present practical and legal challenges. This article examines the most significant concerns and offers actionable guidance for school board employee

Districts and charter school boards must adopt clear policies governing covered AI instructional tools. Parents must be notified when an AI instructional tool is approved for instructional use. The plain-language notice must identify the tool, the grade levels and subject areas in which it will be used, the nature of student interaction, and the process for objecting to tool content. If the student will directly use the tool, parents must be given the option to opt their child in and information about a non-AI alternative that is substantively comparable in instructional quality and access.

Tools used in VPK through grade 5 must undergo additional review to determine whether they are appropriate for students’ ages and developmental levels. Policies must prohibit AI designed to address a student’s social or emotional needs, as well as AI that simulates companionship or an emotional relationship. The rule also prohibits relationship-building or anthropomorphic design features intended to encourage a student to continue interacting with the system or tool. Undisclosed behavior monitoring, social scoring, and psychological profiling are also prohibited. Approved tools must satisfy the rule’s restrictions on selling, monetizing, profiling, or commercially exploiting student data to train commercial AI models. Districts and charter school governing boards must prioritize vendors that maintain student data storage and processing within the United States. Finally, the policies must establish clear expectations for academic integrity and must ensure that any AI instructional tool deploying autonomous/agentic AI is under the direct supervision of an adult, maintains a complete activity log, and includes a mechanism allowing school personnel to immediately suspend or disable its autonomous functionality without vendor assistance. The policies must also ensure that AI is never used as a decision maker absent human review, including for grading, evaluations, promotions, discipline, threat assessments, counseling referrals, Exceptional Student Education (ESE) referrals, or communications, and require districts to disclose to the Department any unexpected autonomous behavior or IT safety or security incident caused by an approved AI tool, including unauthorized data access.

The Overbroad Definition of AI

The rule defines an “Artificial Intelligence system” as “a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments.” That broad definition creates classification questions for districts. However, the definition of an “artificial intelligence instructional tool” is narrower: it covers software applications or services using generative or autonomous/agentic artificial intelligence, including machine learning, made available to students for educational purposes. It expressly excludes AI systems that do not interact with students or are used to analyze, classify, predict, detect, or optimize decision making based on existing data. Districts should therefore evaluate a tool’s actual functions and use rather than assume that every product incorporating machine learning is subject to the instructional-tool requirements. The broader “AI system” definition still matters to the rule’s purpose, its definition of “instructional use,” and its restrictions on social-emotional and relationship-building AI.

The final rule also defines “autonomous artificial intelligence” or “agentic artificial intelligence” as a machine-based system operating through a continuous cognitive loop that allows it to be proactive, set goals, make multi-step decisions, execute actions, and gather, log, or generate data sets with minimal or no human oversight. For districts managing hundreds of software licenses, distinguishing covered instructional uses from excluded functions may create a substantial administrative burden. A platform may combine several functions, making review of its configuration and proposed student use more useful than classification by product name alone. Districts should document their interpretation and monitor Department of Education guidance.

Parental Opt-In Challenges

Subsection (3)(e)1.e requires a parental opt-in option when a student will directly use an AI instructional tool, together with information about a substantively comparable non-AI alternative. This can present significant operational challenges where a covered AI function is integral to instruction. The presence of machine learning alone does not establish that a platform is covered; districts must first apply the definition and its exclusions. For covered uses, schools may need parallel instructional arrangements, with additional staffing, licensing, and curricular alignment costs. Districts using autonomous/agentic AI instructional tools must also provide direct adult supervision, maintain complete activity logs, and ensure school personnel can immediately suspend or disable autonomous functionality without vendor assistance.

Hidden Costs of Implementation

Implementing the rule will require districts to assess staffing, technology, and administrative capacity. Even where existing systems can support compliance, the work may be substantial:

Technology Audits. Districts should inventory instructional software and assess which tools and functions fall within the rule’s definition, taking its express exclusions into account. Broader review of administrative and third-party systems may help identify other applicable AI restrictions, but the rule does not expressly require classifying every software application as an AI instructional tool.

Staff Training. Subsection (3)(e)11 mandates teacher and administrator training on AI risks, limitations, and compliance, requiring curriculum development and professional development hours.

Consent Management. The opt-in requirement and detailed parent notification provisions will require systems to track individual student opt-in status across multiple tools, grades, and academic years.

Recordkeeping and Reporting. Subsections (3)(e)13–15 require publicly accessible approved-tool lists, records of student interactions retained for a minimum of 30 days, and reporting to the Department of Education. Reports must include tool names, applicable grade levels and subject areas, frequency of use, and duration of student interaction; per-student or per-teacher information is not required.

Agentic AI Supervision and Kill-Switch Compliance. Districts deploying autonomous/agentic AI instructional tools in VPK through grade 12 must ensure direct adult supervision, maintain complete activity logs, and implement mechanisms that allow school personnel to immediately suspend or disable the tool’s autonomous functionality without vendor assistance, all of which require dedicated staffing and technical infrastructure.

Incident Reporting. The new requirement to disclose unexpected autonomous behavior or IT safety or security incidents involving approved AI tools, including unauthorized data access, adds another compliance layer requiring incident-detection, escalation, and reporting procedures.

Legal Exposure. Noncompliance could expose districts to administrative enforcement, parental complaints, and litigation regarding vendor contract compliance under Section 1006.1494, Florida Statutes.

Practical Implementation Tips

Despite these challenges, school board employees should take these steps now:

Begin Drafting Policy Amendments. Work with board counsel to adopt and implement the AI policy amendments by July 1, 2027, while retaining the annual September 1 review and approval process. The July deadline applies to the amendments required by subsection (3)(e); it should not be treated as a blanket postponement of the rule’s separate prohibitions, including subsection (3)(f), after the October 29, 2026 effective date.

Conduct an AI Tool Inventory. Direct your IT department to inventory instructional software, identify generative and autonomous/agentic functions made available to students, apply the definition’s exclusions, and create an approval workflow with instructional, IT, and legal review.

Develop Training Protocols. Design tiered training: basic awareness for all employees, detailed compliance training for teachers, and specialized training for IT and administrative staff responsible for tool approval.

Create Parent Notification Templates. Develop standardized, plain-language templates covering the tool name, applicable grades and subjects, nature of student interaction, and the process for objecting to content. For direct student use, include opt-in instructions and information about a substantively comparable non-AI alternative. Consider translating templates into your district’s primary languages.

Apply the Definitions Strategically. Evaluate actual tool functions and student uses under the definition of “AI instructional tool,” including its exclusions. Document the reasoning for coverage decisions and separately assess restrictions that apply more broadly to AI, including the prohibitions in subsection (3)(f).

Evaluate Agentic AI Tools. Assess whether any currently deployed or proposed AI instructional tools qualify as autonomous/agentic AI under the new definition and, if so, ensure that adult supervision protocols, activity-logging systems, and kill-switch mechanisms are in place before the July 1, 2027 deadline.

Establish Incident Reporting Procedures. Develop internal protocols for identifying and disclosing unexpected autonomous behavior or IT safety or security incidents involving approved AI tools to the Department as required by the amended rule. The October 29, 2026 effective date makes this a current planning priority, while July 1, 2027 remains the deadline to adopt and implement the AI-specific policy amendments. School board employees who begin planning now will be best positioned to achieve compliance while minimizing disruption and managing implementation costs. AI is not the future; it is the present.

Rule and adoption history: LINK

Read Final Ruling: 6A-1.0957 Internet Safety Policy