5 research outputs found

    Data Equity: Foundational Concepts for Generative AI

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    This briefing paper focuses on data equity within foundation models, both in terms of the impact of Generative AI (genAI) on society and on the further development of genAI tools. GenAI promises immense potential to drive digital and social innovation, such as improving efficiency, enhancing creativity and augmenting existing data. GenAI has the potential to democratize access and usage of technologies. However, left unchecked, it could deepen inequities. With the advent of genAI significantly increasing the rate at which AI is deployed and developed, exploring frameworks for data equity is more urgent than ever. The goals of the briefing paper are threefold: to establish a shared vocabulary to facilitate collaboration and dialogue; to scope initial concerns to establish a framework for inquiry on which stakeholders can focus; and to shape future development of promising technologies. The paper represents a first step in exploring and promoting data equity in the context of genAI. The proposed definitions, framework and recommendations are intended to proactively shape the development of promising genAI technologies

    The Roles of Teaching and Learning Centers

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    This chapter shares findings from a survey of teaching and learning centers on college and university campuses in the United States. Topics addressed include organizational infrastructure, assessment and accountability, factors/challenges contributing to successful implementation, and a list of functions and program offerings found in teaching and learning centers across the country
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