K–12 AI Readiness
in Georgia

Georgia’s Two-Document Guidance Stack & the Traffic Light Framework

Georgia was the 25th state in the country to publish formal K–12 AI guidance. In January 2025, the Georgia Department of Education (GaDOE) released “Leveraging AI in the K–12 Setting,” a comprehensive framework for ethical, effective, and secure use of AI in Georgia’s public schools. The document emphasizes data privacy, academic integrity, transparency, and continuous professional development — and introduces a distinctive “Traffic Light” risk-categorization system that differentiates AI uses as prohibited, permitted with caution, or encouraged with attribution. In June 2025, GaDOE followed with a second document, “Ethical Considerations in the Appropriate Use of AI for Educators,” providing voluntary statewide guidance for Georgia P-12 educators, administrators, and staff on ethical AI use in schools and classrooms.

The two documents work together as a deliberate policy stack. The January 2025 guidance covers operational implementation — procurement, policy development, classroom integration, vetting committees. The June 2025 ethics guide focuses specifically on educator decision-making in daily practice. Together, they address both the institutional level (what the district does) and the professional level (what the educator does).

What the GaDOE Guidance Covers — and the Parallel State-Level Work

The January 2025 “Leveraging AI in the K–12 Setting” framework covers five core areas: ethical considerations (informed by the Traffic Light categorization), privacy safeguards anchored to FERPA and COPPA, policy development guidance for LEAs, classroom implementation strategies, and district self-check sections throughout the document for structured evaluation. The guidance specifically addresses both teaching about AI and teaching with AI, and prohibits the use of AI for high-stakes decisions — notably IEP goal-setting, educator evaluations, and subjective grading — while permitting AI for lesson planning assistance, rubric development, and multiple-choice grading.

The June 2025 “Ethical Considerations in the Appropriate Use of AI for Educators” operates at the individual practitioner level. It provides educators with voluntary P-12 guidance on ethical AI use — complementing the January 2025 institutional framework with direct guidance on classroom decision-making. Both documents position Georgia’s approach as voluntary and district-adaptive rather than mandate-driven.

Parallel State-Level Framework

Beyond K–12, the Georgia Technology Authority (GTA) has issued parallel AI standards for state operations: Generative AI Guidelines (GS-25-001) and a Responsible Use Policy (PS-25-001). These documents operate in Georgia’s executive branch rather than K–12 specifically, but they establish a common statewide vocabulary around human review requirements, approved tool lists, and sensitive data protection that aligns with the GaDOE framework. Districts working with county or municipal agencies on AI procurement may encounter references to the GTA standards.

Compliance Posture

Georgia’s approach pairs voluntary guidance with explicit expectations: if a district adopts an AI tool or practice that falls in the Traffic Light’s “prohibited” category, that district is operating outside the framework. This creates a soft-enforcement structure that is different from a statutory mandate but more defined than pure voluntary guidance in most states.

Georgia’s Broader AI in Education Infrastructure

Georgia’s AI-in-education ecosystem extends beyond the guidance documents through institutional and district channels.

GaETC — The Georgia Educational Technology Conference

The Georgia Educational Technology Conference (GaETC), held annually in Atlanta and convened by the Technology Association of Georgia’s Education Collaborative, is one of the largest state-level ed-tech conferences in the Southeast. GaETC consistently features AI-focused sessions led by GaDOE staff, university researchers, and leading Georgia district practitioners. For district leaders tracking AI implementation practices in Georgia, GaETC is the primary recurring convening event where the state’s guidance documents are discussed in operational detail.

Gwinnett County & Seckinger High School

Gwinnett County Public Schools, Georgia’s largest school district, has been one of the state’s most visible AI-implementation leaders. Seckinger High School — part of Gwinnett County — operates with an explicitly AI-themed curriculum, using AI integration as an organizing instructional framework across subject areas. Seckinger’s model has been documented as a reference case for Georgia districts planning AI-focused programs of study.

University of Georgia Research Integration

The University of Georgia has published generative AI guidelines for instructors and is active in AI-in-higher-education research. UGA’s work provides a policy reference point for Georgia K–12 districts seeking alignment with university-level AI expectations, and Athens-area districts in particular have benefited from the proximity-based knowledge transfer.

Federal Funding Available to Georgia Districts

Georgia’s federal K–12 funding operates under the standard ESSA framework. Three federal funding streams apply to AI literacy professional development. Georgia’s position as a large, urbanizing state with significant rural enrollment means federal funding is concentrated in the Atlanta-metro districts but distributed substantially across the state.

Georgia’s ~180 LEA structure splits between larger metro district systems and smaller rural districts. Gwinnett County, Cobb County, DeKalb County, Fulton County, and Atlanta Public Schools collectively command a meaningful share of Georgia’s Title IV-A allocation. The GaDOE guidance’s explicit provisions on professional development provide Georgia districts with defensible justification language for Title IV-A expenditures tied to AI literacy work.

Implications for Georgia Districts

1. 1. The two-document guidance stack defines Georgia’s expectations Districts working from the January 2025 institutional framework alone have half the picture. The June 2025 ethics guide covers educator-level decision-making that the January document only addresses obliquely. Effective district AI policy in Georgia requires both documents, with the Traffic Light framework as the shared categorization tool.
2. 2. The Traffic Light framework simplifies procurement decisions GaDOE’s explicit prohibition on AI for IEP goals, educator evaluations, and subjective grading gives Georgia districts clean decision criteria. Any AI tool that functions in a “prohibited” category cannot be procured by a Georgia district claiming alignment with GaDOE guidance. The corresponding permission for lesson planning, rubric development, and multiple-choice grading clarifies what is acceptable.
3. 3. Gwinnett County’s Seckinger High School is the state reference model For districts considering AI-themed curriculum or deeper AI integration into programs of study, Seckinger’s model provides the most developed in-state reference case. District leaders benchmarking their AI integration work against Georgia peers will find Seckinger’s approach cited in state-level conversations.
4. 4. GaETC is where Georgia’s AI-implementation knowledge gets transferred The Georgia Educational Technology Conference is the annual convening where GaDOE staff, district practitioners, university researchers, and technology vendors discuss implementation practices in operational detail. District teams building AI capacity benefit from sustained engagement with the conference’s AI-focused sessions.
5. 5. Federal Title IV-A, Title II-A, and Title I are the funding pathways Georgia’s ~$40M Title IV-A, ~$75M Title II-A, and ~$650M Title I allocations each accommodate AI literacy professional development as an allowable use. The GaDOE guidance’s explicit professional development language provides district administrators with defensible justification for Title IV-A expenditures in particular.