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Developing Institutional Level AI Policies and Practices: A Framework

WCET Frontiers

Over the last twelve months, institutions have scrambled to not only better understand generative Artificial Intelligence (AI) and its impact on teaching and learning, but also to determine the best ways to provide guardrails and guidance for faculty, staff, and students. Understanding algorithmic bias. Regular & Substantive Interaction.

Policy 59
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7 missteps university leaders must avoid in their AI approach

EAB

This April, Khan Academy announced “ Khanmigo ”, an AI-powered tutor that provides personalized one-on-one tutoring and real-time guidance to students as they conduct tasks from writing papers to coding software. Instead, higher education leaders should proactively develop an institutional AI plan tailored to their unique needs and goals.