Policy and
Guidance

This report outlines potential risks and considerations for using AI as teacher assistants, focusing on issues such as accuracy, bias, transparency, and student privacy. It provides a framework to help schools evaluate AI tools and make informed decisions about classroom adoption.

This article explores what it means for students to be truly “AI-ready,” outlining key mindsets, skills, and dispositions such as adaptability, critical thinking, ethical reasoning, and lifelong learning. It offers a vision for future-ready graduates who can thrive in an AI-influenced world.

This post explains how Google is addressing the environmental impact of AI by improving energy efficiency in its data centers and model training. It highlights technical innovations and the company’s commitment to building AI responsibly and sustainably. 

AI.gov is the official U.S. government hub for national AI strategy, research funding, education initiatives, and policy guidance. It features updates from federal agencies, links to key documents like the AI Bill of Rights and Executive Orders, and resources for educators, researchers, and leaders looking to align local efforts with national priorities.

This newly launched guide marks Hillsborough Co Public School's first official district-wide framework for AI integration. Developed by the HCPS AI Governance Team - representing cross-divisional leadership - it combines policy directives with actionable recommendations tailored for schools and staff. The guide: Establishes Core Principles, Explains AI Essentials, Flags Risks & Safeguards, Defines Roles & Responsibilities, Supports Growth & Evolution.

This toolkit equips district leaders with practical templates, sample policies, and recommendations for implementing AI responsibly in K–12 settings. It includes frameworks for digital citizenship, student data privacy, and professional development aligned with classroom integration. Designed to help schools take a thoughtful, ethical approach to AI adoption at scale.

Flint’s AI Policy Library offers a comprehensive collection of real-world AI policies, guidelines, and resources from over 200 schools globally. It provides actionable advice on forming AI task forces, drafting adaptable guidelines, and integrating AI considerations into existing school policies. The library includes diverse examples such as usage scales, academic integrity frameworks, and communication strategies, serving as a valuable toolkit for schools aiming to implement responsible AI practices.

In this Forbes article, Linda Darling-Hammond argues for a comprehensive overhaul of the U.S. education system to meet the challenges posed by AI and automation. She advocates moving away from outdated factory-model schooling towards personalized, experiential learning that fosters critical thinking, adaptability, and real-world problem-solving skills. The piece emphasizes the importance of equity and the development of human-centric competencies in preparing students for the future.

This toolkit is designed to support education authorities, school leaders, and teachers in creating thoughtful guidance to help their communities realize the potential benefits of incorporating artificial intelligence (AI) in primary and secondary education while understanding and mitigating the potential risks.

This presentation by Kasey Fernandez, District Librarian at Tigard-Tualatin School District (TTSD), outlines the district's approach to integrating artificial intelligence (AI) in education. It covers the development of AI policies, approved tools for classroom use, and professional development initiatives aimed at empowering educators and students. The presentation also highlights the collaborative efforts within TTSD to address ethical considerations and ensure responsible AI usage in schools.

This is one of my favorite webinars for educators (MS/HS) exploring how to implement AI in their classrooms. The discussion about district-wide implementation at the beginning is insightful, but I especially love the classroom modeling starting around the 23-minute mark.

This April 2025 executive order establishes a national strategy to integrate AI education across K–12 and workforce development. It creates a White House Task Force on AI Education, prioritizes educator training, and launches a “Presidential AI Challenge” to promote student innovation. The order emphasizes early exposure to AI concepts, public-private partnerships, and lifelong learning to ensure the U.S. remains a global AI leader.

The AI Literacy Framework (AILit) defines the technical knowledge, durable skills, and future-ready attitudes required to thrive in a world influenced by AI. The framework aims to empower learners to engage with, create, manage, and design AI, while critically evaluating its benefits, risks, and ethical implications. The initiative includes practical resources such as infographics, customizable slide decks, and a guidance toolkit to support educators in integrating AI literacy into primary and secondary education. Also available at https://ailiteracyframework.org/

A series of briefs addressing the evolving role of AI in K–12 computer science education. These resources explore critical questions such as the importance of learning to program in the AI era, effective methods for teaching with and about AI, and strategies to help students become critical consumers and responsible creators of AI technologies. The initiative emphasizes the need for updated curricula, professional development, and policies to prepare students for an AI-driven world.

This ODE resource hub offers guidance for schools navigating the integration of generative AI. It includes planning tools, policy development frameworks, and curated resources to promote safe, ethical, and equitable classroom use. Designed for educators and administrators, it supports thoughtful, standards-aligned implementation.

UNESCO’s AI Competency Framework for Teachers outlines 15 key competencies across five dimensions—Human-Centered Mindset, Ethics of AI, AI Foundations & Applications, AI Pedagogy, and AI for Professional Learning. Structured into three progression levels (Acquire, Deepen, Create), the framework guides educators in integrating AI into their practice while upholding ethical standards and promoting human agency. It serves as a global reference for developing national AI competency frameworks and informs teacher training programs.

This book by Tricia Bertram Gallant and David A. Rettinger offers a forward-looking, research-backed vision for fostering academic integrity in the era of generative AI. It provides practical strategies for educators to understand why students cheat and how to prevent it, aiming to enhance learning and integrity. The authors encourage a shift from punitive measures to creating learning environments that promote honesty and personal growth.

Common Sense Media reviews emerging 'social AI companions' like Replika and Character.ai, examining how they interact with minors. The article highlights concerns around emotional influence, safety, and how youth perceive these digital relationships. A valuable piece for educators and parents alike.

The AI Readiness Framework from aiEDU helps educators gauge how prepared their students are to engage meaningfully with AI. It breaks down learning progressions into accessible stages aligned with age and skill level. Ideal for guiding curriculum design and student growth.

This research report from Common Sense, Harvard, and Hopelab explores how teens and young adults are using generative AI in their daily lives. It highlights both excitement and concern, revealing gaps in digital literacy and awareness around ethics, misinformation, and emotional impact. The report includes recommendations for educators, families, and policymakers.

This article argues that banning AI tools isn't the solution to student cheating—instead, educators should rethink how they assess learning. It promotes authentic, process-oriented assessments that AI can’t easily replicate. A compelling resource for teachers and administrators navigating academic integrity in the age of generative AI.

Developed by Leon Furze and colleagues, the AI Assessment Scale offers a practical rubric to evaluate how students are using AI in their work. It helps educators distinguish between surface-level use, collaborative support, and AI overuse or substitution. A useful tool for setting expectations and guiding classroom policy.