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Developing Institutional Level AI Policies and Practices: A Framework

WCET Frontiers

Not developing and implementing AI policies within the context of ethical considerations opens up the institution – and thus its leaders – to, at best, inefficient use of resources that often include funds from taxpayers, and, at worst, serious breaches of privacy, security, transparency, and equity. Understanding algorithmic bias.

Policy 59
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Rising higher ed leaders tackle campus challenges in EAB’s fellowship

EAB

Many tackled improving student success, retention, and equity at their institutions, while others focused on budget models and streamlining administrative processes. Several fellows deeply examined student success at their institutions, specifically focusing on equity issues.