Obtenez 3 mois à 0,99 $/mois

OFFRE D'UNE DURÉE LIMITÉE
Page de couverture de Fairness and Equity in AI for Education

Fairness and Equity in AI for Education

Fairness and Equity in AI for Education

Auteur(s): Walter L. Leite
Écouter gratuitement

À propos de cet audio

 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 Science Sciences sociales
Épisodes
  • Episode 5 - Michael Madaio - Social and technical solutions to fairness in AI

    Episode 5 - Michael Madaio - Social and technical solutions to fairness in AI
    Sep 2 2021
    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.
    Voir plus Voir moins
    36 min
  • Episode 4 - Rene Kizilcec - Scalable AI to broaden participation

    Episode 4 - Rene Kizilcec - Scalable AI to broaden participation
    Sep 2 2021
    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.
    Voir plus Voir moins
    39 min
  • Episode 3 - Kyle Jones - Giving students voice in applications of AI

    Episode 3 - Kyle Jones - Giving students voice in applications of AI
    Sep 2 2021
    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.
    Voir plus Voir moins
    39 min
Pas encore de commentaire