• Fairness and Equity in AI for Education

  • 著者: Walter L. Leite
  • ポッドキャスト

Fairness and Equity in AI for Education

著者: Walter L. Leite
  • サマリー

  • The opportunities and dangers of using educational products driven by Artificial Intelligence (AI) in schools and universities are explored through the lenses of fairness and equity. This is a limited podcast series with five interviews with researchers in the fields of artificial intelligence, learning analytics, ethics and student privacy.
    Copyright Walter L. Leite
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あらすじ・解説

The opportunities and dangers of using educational products driven by Artificial Intelligence (AI) in schools and universities are explored through the lenses of fairness and equity. This is a limited podcast series with five interviews with researchers in the fields of artificial intelligence, learning analytics, ethics and student privacy.
Copyright Walter L. Leite
エピソード
  • Episode 5 - Michael Madaio - Social and technical solutions to fairness in AI
    2021/09/02
    Dr. Michael Madaio talks about how solutions to ensure fairness in AI are both technical and social and provides several examples of directions of research on fairness in AI. He points out the limitations of transparency in AI systems for education as a means of ensuring fairness. Dr. Michael Madaio is a post-doctoral researcher at Microsoft Research. He has a PhD in Human-Computer Interaction from Carnegie Mellon University.
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    36 分
  • Episode 4 - Rene Kizilcec - Scalable AI to broaden participation
    2021/09/02
    Dr. Rene Kizilcec describes many sources of unfair outcomes of AI in education. He also describes the difficulties of transferability of AI models across contexts, and the fairness concerns that come not from the structure of AI but from how it is used in K12 schools and institutions of higher education. Dr. Rene Kizilcec is an Assistant Professor of Information Science and Director of the Future of Learning Lab at Cornell University.
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    39 分
  • Episode 3 - Kyle Jones - Giving students voice in applications of AI
    2021/09/02
    Dr. Kyle Jones talks about the importance of giving students choice on what data is collected about them for use in learning analytics. He also talks about responsibilities of institutions of higher education about justifying their use of student data. He also emphasizes bringing voices from diverse backgrounds into the development process of learning analytics products. Dr. Kyle Jones is an assistant professor in the Department of Library and Information Science at Indiana University–Purdue University Indianapolis.
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    39 分

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