As artificial intelligence (AI) becomes increasingly integrated into educational settings, the development of clear and responsible AI policies has become essential. These policies aim to ensure that AI tools are used ethically, equitably, and effectively, safeguarding student privacy and promoting academic integrity.
As artificial intelligence (AI) becomes increasingly integrated into educational settings, the development of clear and responsible AI policies has become essential. These policies aim to ensure that AI tools are used ethically, equitably, and effectively, safeguarding student privacy and promoting academic integrity.
Educators and policymakers seeking up-to-date information on AI in education can refer to several key resources:
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U.S. Department of Education’s AI Guidance: Provides insights into how AI technologies can assist in higher education and helps shape AI policy. US Dept. of Education
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TeachAI’s Policy Tracker: Offers informational briefs, policy ideas, and presentation materials to aid in crafting responsible AI policies for teaching. TeachAI
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AI for Education’s State AI Guidance: Compiles official guidance or policies from 25 state departments of education regarding AI use in K-12 schools. State AI Guidance
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The 2025 AI Index Report by Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) offers a comprehensive overview of global trends in artificial intelligence, with significant insights into AI policy and education.2025 AI Index Report
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The report highlights a substantial increase in AI-related legislative activity worldwide. In the United States, state-level AI legislation has surged, with the number of enacted laws rising from 49 in 2023 to 131 in 2024. This growth indicates proactive measures at the state level amid slower federal progress.
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Internationally, countries are investing heavily in AI infrastructure—for instance, Canada announced a $2.4 billion AI infrastructure package, and China launched a $47.5 billion fund to boost semiconductor production. Additionally, global cooperation on AI governance has intensified, with the establishment of international AI safety institutes in countries like the U.S., U.K., Japan, and members of the European Union .AI Policy and Governance
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Stanford AI Index (video)
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AI in Education
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In the educational sector, the report notes a slight increase in U.S. high school computer science (CS) course enrollment. However, disparities persist based on factors such as state, race, and income. Notably, while 81% of CS teachers agree on the importance of including AI in foundational CS education, less than half feel equipped to teach AI content. Globally, two-thirds of countries now offer or plan to offer K–12 CS education, doubling since 2019, with significant progress in African and Latin American nations. The number of U.S. graduates earning master’s degrees in AI nearly doubled between 2022 and 2023, indicating a growing interest in advanced AI education AI in Education
Given the fast pace of AI, it is imperative to staying informed about policy updates and AI development. The linked spreadsheet, “AI Tools for Educators” serves as a curated directory of AI tools categorized to assist educators in various domains.The spreadsheet is organized into the following categories:
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AI Accessibility: Tools designed to enhance accessibility for learners with diverse needs.
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AI Enhancements: Applications that augment teaching and learning experiences through AI-driven features.
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AI for Coding: Resources that support coding education and programming instruction
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AI for Educators: General AI tools tailored for educators to streamline tasks and improve efficiency.
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AI for History: Tools that assist in teaching and exploring historical content.
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AI for Languages: Applications focused on language learning and instruction.
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AI for Math: Resources aimed at enhancing mathematics education through AI.
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AI for Science: Tools that support science teaching and experimentation.
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AI Grading: Applications that facilitate automated grading and assessment.
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AI Policy Updates: Information on the latest developments and policies related to AI in education.
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AI Workflow Optimization: Tools designed to optimize educational workflows and administrative tasks.
Each category likely contains specific tools or resources relevant to its theme, providing educators with a comprehensive guide to integrating AI into their teaching practices.
Link to spreadsheet here
