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Generative AI in Higher Education Foundations: A F ...
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The Council for Advancement and Support of Education in 2022 introduced a framework for the responsible integration of generative AI in higher education, presented by Abi Cahak, Chief Legal Officer at the Wisconsin Foundation and Alumni Association, and Rosa Unal, VP and Chief Information Officer at Iowa State University Foundation. The framework addresses the capabilities, risks, and mitigative strategies related to generative AI.<br /><br />Generative AI includes technologies that enable computers to perform tasks requiring human intelligence, such as generating text, images, videos, music, and code. It includes tools like ChatGPT, Microsoft Copilot, Google's Bard and Gemini, and Anthropic's Claude.<br /><br />Organizations are encouraged to integrate generative AI within their Enterprise Risk Management (ERM) frameworks. Despite its opportunities, generative AI poses risks in decision-making, financial stability, reputation, loss of opportunity, and cyber and legal compliance. Cyber risks include data breaches, deepfakes, and unauthorized AI uses.<br /><br />Risk mitigation measures emphasize AI governance, employee training, vendor risk policies, robust cybersecurity, privacy measures, and expert legal advice. Creating a generative AI policy involves recognizing needs, collaborating with stakeholders, addressing critical elements, and staff training.<br /><br />The Wisconsin Foundation and Alumni Association began discussions on generative AI policy in early 2023. Their policy includes approved tool lists, supervisory approvals, review processes, and limitations on output types. The updated policy version includes Microsoft Copilot, offering greater input flexibility and allowing AI-generated media within specified guardrails.<br /><br />Iowa State University Foundation introduced guidelines in March 2023, focusing on responsible tool use, confidentiality protection, transparency, and legal considerations. Their policy rollouts involve employee training, pilot testing, and including AI tools in Vendor Risk Management and ERM processes.<br /><br />Looking forward, the field anticipates frequent changes, the rise of specialized AI tools, market tool consolidation, and the development of AI agents.
Keywords
generative AI
higher education
AI governance
risk management
cybersecurity
AI policy
enterprise risk management
ChatGPT
Microsoft Copilot
AI tools
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