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The AI Divide: Equitable Applications of AI in Higher Education to Advance the Completion Agenda. A Position Paper on AI, Access, and Digital Tools as Levers for Equity in Higher Education.

Authors :
Complete College America (CCA)
Source :
Complete College America. 2023.
Publication Year :
2023

Abstract

In this position paper, the authors lay out the imperative for equitable artificial intelligence (AI), highlighting the essential role of access-oriented institutions and calling on technology companies (both large and small), foundations, and local, state, and federal regulators to consult with the newly convened Complete College America Council on Equitable AI in Higher Education. Their belief is that equitable AI spans far beyond the risk of mis-trained data. How schools adopt or reject these tools, the priorities of AI vendors, access to resources that enable the use of these tools, and the systemic integration of historically underrepresented and underserved voices will shape whether technology amplifies privilege or fosters inclusivity. A three-fold framework is presented for understanding Equity in AI, considering not just the quality and unbiased nature of the data used to train generative AI machines but also who has access to conversations around policy and product, as well as which institutions have access to the resources and safety nets that enable innovation and experimentation in the field of AI. A disruptive new advisory council is proposed, the Complete College America Council on Equitable AI in Higher Education, composed of representatives from historically excluded institutions and, by extension, students. The authors urge policymakers, technologists, and funders to proactively consult the Council and disrupt systemic inequities by integrating AI into higher education rather than continue to perpetuate them. [This paper was created in partnership with T3 Advisory.]

Details

Language :
English
Database :
ERIC
Journal :
Complete College America
Publication Type :
Report
Accession number :
ED633824
Document Type :
Reports - Evaluative<br />Opinion Papers