Chapter 8: Recommendations 8. Recommendations Earlier, we asked two guiding questions: 1. What is our collective vision of a desirable and achievable educational system that leverages automation while protecting and centering human agency? 2. On what timeline will we be ready with necessary guidelines and guardrails along with convincing evidence of positive impacts, so that we can ethically and equitably implement this vision widely? Answers to the first question are provided throughout the Learning, Teaching, Assessment, and Research sections. This section turns to a call to action to education leaders and to recommendations. Core to the Department’s perspective is that education will need leadership specific to our sector. Leadership should recognize and build on prior accomplishments in edtech (such as strong prior work on student privacy and school data security) as well as broad frameworks for safe AI (such as the Blueprint for an AI Bill of Rights). Leadership must also reach beyond these accomplishments and frameworks to address emerging opportunities and risks that are specific to novel capabilities and uses of AI in education. 8.1. Insight: Aligning AI to Policy Objectives Individual sections of this policy report provided insights in each of four areas—learning, teaching, assessment, and research. These insights, synthesized from extensive stakeholder consultation and listening sessions, show that the advances in AI can bring opportunities to advance the Department’s policy objectives: 86 | P a g e
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