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Kelly McConvey | A human-centered review of algorithms in decision-making in higher education
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Presented at the 2023 Toronto Public Tech Workshop, co-hosted by the Schwartz Reisman Institute for Technology and Society and the Munk School of Global Affairs & Public Policy at the University of Toronto.
Speaker: Kelly McConvey (Faculty of Information, University of Toronto)
Paper title: “A human-centered review of algorithms in decision-making in higher education”
Abstract:
The use of algorithms for decision-making in higher education is steadily growing, promising cost-savings to institutions and personalized service for students, but also raising ethical challenges around surveillance, fairness, and interpretation of data. To address the lack of systematic understanding of how these algorithms are currently designed, we reviewed an extensive corpus of papers proposing algorithms for decision-making in higher education. We categorized them based on input data, computational method, and target outcome, and then investigated the interrelations of these factors with the application of human-centered lenses: theoretical, participatory, or speculative design. We found that the models are trending towards deep learning, increased use of student personal data and protected attributes, with the target scope expanding towards automated decisions. However, despite the associated decrease in interpretability and explainability, current development predominantly fails to incorporate human-centered lenses. We discuss the challenges with these trends and advocate for a human-centered approach.
About the speaker
Kelly McConvey is a PhD student at the Faculty of Information at the University of Toronto and a 2023–2024 Schwartz Reisman Institute graduate fellow. McConvey’s research focuses on human-centered data science in the public sector, and specifically, the use of algorithms in higher education. She is advised by Shion Guha and is a member of the Human-Centered Data Science Lab. McConvey holds a Masters of Management in Artificial Intelligence from the Smith School of Business at Queen's University.
About the Toronto Public Tech Workshop
The Toronto Public Tech Workshop enables researchers from a wide range of disciplines to present new work that explores the use of technology for public purposes. Presenters will share and discuss ideas on how to leverage new and existing technologies for public purposes, integrate policy and governance considerations, and build successful partnerships that engage with democratic institutions and public values.
About the Schwartz Reisman Institute
Located at the University of Toronto, the Schwartz Reisman Institute for Technology and Society’s mission is to deepen our knowledge of technologies, societies, and what it means to be human by integrating research across traditional boundaries and building human-centred solutions that really make a difference.
Speaker: Kelly McConvey (Faculty of Information, University of Toronto)
Paper title: “A human-centered review of algorithms in decision-making in higher education”
Abstract:
The use of algorithms for decision-making in higher education is steadily growing, promising cost-savings to institutions and personalized service for students, but also raising ethical challenges around surveillance, fairness, and interpretation of data. To address the lack of systematic understanding of how these algorithms are currently designed, we reviewed an extensive corpus of papers proposing algorithms for decision-making in higher education. We categorized them based on input data, computational method, and target outcome, and then investigated the interrelations of these factors with the application of human-centered lenses: theoretical, participatory, or speculative design. We found that the models are trending towards deep learning, increased use of student personal data and protected attributes, with the target scope expanding towards automated decisions. However, despite the associated decrease in interpretability and explainability, current development predominantly fails to incorporate human-centered lenses. We discuss the challenges with these trends and advocate for a human-centered approach.
About the speaker
Kelly McConvey is a PhD student at the Faculty of Information at the University of Toronto and a 2023–2024 Schwartz Reisman Institute graduate fellow. McConvey’s research focuses on human-centered data science in the public sector, and specifically, the use of algorithms in higher education. She is advised by Shion Guha and is a member of the Human-Centered Data Science Lab. McConvey holds a Masters of Management in Artificial Intelligence from the Smith School of Business at Queen's University.
About the Toronto Public Tech Workshop
The Toronto Public Tech Workshop enables researchers from a wide range of disciplines to present new work that explores the use of technology for public purposes. Presenters will share and discuss ideas on how to leverage new and existing technologies for public purposes, integrate policy and governance considerations, and build successful partnerships that engage with democratic institutions and public values.
About the Schwartz Reisman Institute
Located at the University of Toronto, the Schwartz Reisman Institute for Technology and Society’s mission is to deepen our knowledge of technologies, societies, and what it means to be human by integrating research across traditional boundaries and building human-centred solutions that really make a difference.
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