Convene cross-functional generative AI task forces to guide ethical adoption decisions and procurement¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The report's second use case shows Indian Prairie School District establishing a Generative Artificial Intelligence Task Force of teachers, administrators, principals, and district office representatives before deploying AI in 2024-25. Its working groups created a belief statement and guiding principles, designed professional learning, identified AI resources, and explored how to optimize student learning—implementing Recommendation 2 to 'strengthen the adoption and governance of AI-enabled edtech through cross-functional teams.' The task force presented progress to the Board of Education, producing endorsed policy updates.

Design Implications¶

Context¶

Requirements¶

• Multi-disciplinary membership spanning elementary, middle, and high schools
• district leadership roles to steer the work

Constraints¶

Target Learners¶

• district administrators
• principals
• teachers
• district office staff

Target Learning Goals¶

• ethical AI governance
• policy development
• professional learning design

Related Strategies¶

• Set clear AI guardrails positioning AI as a complement to human instruction with age-appropriate progressions
• Establish AI-specific accountability systems with iterative playbooks, family guides, and continuous evaluation cycles
• Ask ethics, bias, and equity questions before adopting an AI system
• Districts should build community-shared visions, evaluation infrastructure, and policies for procuring and using AI edtech
• Structure OBC procurement around intentionality questions on learner goals, populations, outcomes, and stakeholders
• Embed AI policy literacy, peer-led communities of practice, and shared AI resources into professional development
• Embed anticipatory governance in institutional strategy via Chief AI Officers, AI task forces, faculty AI-literacy development, and student co-design mechanisms
• Use pedagogical knowledge benchmarks to guide model selection and fine-tuning for educational AI, with ethical guardrails and human-in-the-loop deployment
• Address equity, transparency, and teacher professional judgment when deploying AI-mediated collaboration

Examples¶

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Key Sources¶

• Prado, Y.; Ruiz, P.; Fusco, J.; Adler, K., Falck, B.; Smith, M.L. (2026, April). Operationalizing AI in K-12 Education: Five District Use Cases for Ethical and Strategic Adoption. Digital Promise. https://doi.org/10.51388/20.500.12265/290