Chapter 8: Recommendations educational use. Humans remain in the loop of defining, refining, and using AI models. We highlight the six desirable characteristics of AI models for education (elaborating from principles in the Blueprint for an AI Bill of Rights to fit the specifics of educational systems): 1. Alignment of the AI Model to Educators’ Vision for Learning: When choosing to use AI in educational systems, decision makers prioritize educational goals, the fit to all we know about how people learn, and alignment to evidencebased best practices in education. 2. Data Privacy: Ensuring security and privacy of student, teacher, and other human data in AI systems is essential. 3. Notice and Explanation: Educators can inspect edtech to determine whether and how AI is being incorporated within edtech systems. Educators’ push for AI models can explain the basis for detecting patterns and/or for making recommendations, and people retain control over these suggestions. 4. Algorithmic Discrimination Protections: Developers and implementers of AI in education take strong steps to minimizing bias and promoting fairness in AI models. 5. Safe and Effective Systems: The use of AI models in education is based on evidence of efficacy (using standards already established in education for this purpose) and work for diverse learners and in varied educational settings. 6. Human Alternatives, Consideration and Feedback: AI models that support transparent, accountable, and responsible use of AI in education by involving humans in 93 | P a g e
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