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LC 3467

Develop a framework for an AI powered learning environment

2025 Regular Session

Establish a governance framework to guide AI-powered learning, safeguarding student privacy, ensuring equity and transparency, and accountability for districts and vendors.

(LC) Draft Died in Process
#informationtechnology(seealso:communications) #schoolsandeducation
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Bill Summary · LC 3467

Summary of LC 3467 — Develop a framework for an AI powered learning environment

Quick snapshot

  • Bill number: LC 3467
  • Title: Develop a framework for an AI powered learning environment
  • Status: Draft (LC); Draft Died in Process
  • Introduced: December 14, 2024
  • Classification: Bill
  • Subject: Information Technology (and Communications), Schools and Education
  • Legislative actions:
    • 2024-12-14: Drafter Assigned
    • 2025-05-27: Draft Died in Process

Purpose and intent

Based on the title and subject classification, LC 3467 appears to aim at establishing a governing framework to guide the use of artificial intelligence within learning environments. The intent suggested by such a framework would typically be to enable AI-enabled educational tools while addressing governance, safety, privacy, equity, and accountability in educational settings.

Important note: The actual bill text is not provided here. The following sections describe potential areas such a framework could cover, and the impacts they could have if enacted.

Potential key provisions (illustrative and not confirmed by the text)

Because the bill’s specific provisions are not included in the information provided, the following are common components found in similar “AI in education” framework bills. They are not confirmed clauses of LC 3467, but serve as a guide to what such a bill might address:
- Definitions and scope: what counts as an “AI-powered learning environment,” eligible tools, and applicable educational settings.
- Governance and oversight: creation of a coordinating body or guidelines for districts and schools.
- Privacy and data security: protection of student data, data minimization, data retention, third-party data handling, and compliance with existing privacy laws.
- Ethics and equity: ensuring fair access to AI tools, preventing bias in AI systems, and addressing digital divide concerns.
- Transparency and accountability: requirements for disclosure of AI use, tool provenance, and mechanisms to challenge or review AI-driven decisions.
- Procurement and standards: vendor standards, interoperability, accessibility requirements, and lifecycle management of AI tools.
- Professional development: training for educators and staff on AI tools and best practices.
- Pilot programs and evaluation: structured pilots with metrics for assessing learning outcomes and safety.
- Funding and reporting: any fiscal provisions, grants, or reporting obligations to track impact and compliance.
- Sunset and review: periodic reassessment of the framework’s effectiveness and relevance.

Affected parties and impacts

  • Students: potential access to AI-enhanced learning experiences; protections for privacy and data.
  • Educators and school staff: guidance, training, and accountability for AI tool usage.
  • School districts and educational institutions: obligations to implement the framework, conduct pilots, and report findings.
  • AI vendors and service providers: alignment with standards, data handling requirements, and procurement processes.
  • State or local government agencies: oversight, reporting, and potential funding administration.

Procedural history and timeline

  • Introduced: December 14, 2024 (Drafter Assigned the same day, as listed)
  • Status action: Draft died in process on May 27, 2025
  • Meaning: The bill did not advance in the legislative process; there is no enacted framework from this measure unless reintroduced or revised in a future session.

Next steps and considerations

  • If revived, expect revisions clarifying scope, funding, and concrete provisions.
  • Stakeholders may seek clearer privacy protections, equity benchmarks, and measurable evaluation criteria.
  • Monitoring of any successor proposals could reveal evolving emphasis on AI governance in education.

If you have access to the full text or a bill synopsis, I can provide a more precise, line-by-line summary of enacted provisions and their implications.

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

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