Chapter 2: Building Ethical, Equitable Policies Together ● Recommendations: Use of AI systems and tools must be safe and effective for students. They must include algorithmic discrimination protections, protect data privacy, provide notice and explanation, and provide a recourse to humans when problems arise. The people most affected by the use of AI in education must be part of the development of the AI model, system, or tool, even if this slows the pace of adoption. We return to the idea that these considerations fit together in a comprehensive perspective on the quality of AI models in the Recommendations section. 2.6. Overview of Document We begin in the next section by elaborating a definition of AI, followed by addressing learning, teaching, assessment, and research and development. Organizing key insights by these topics keeps us focused on exploring implications for improving educational opportunity and outcomes for students throughout the report. Within these topics, three important themes are explored: 1. Opportunities and Risks. Policies should focus on the most valuable educational advances while mitigating risks. 2. Trust and Trustworthiness. Trust and safeguarding are particularly important in education because we have an obligation to keep students out of harm’s way and safeguard their learning experiences. P a g e | 17
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