14 citations · 14 across the 9 of their papers we have counts for
10 papers
Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systems
Kelly McConvey, Angelina Zhai, Rebecca Li +1
Public institutions increasingly procure AI systems whose design they cannot inspect or change. In higher education, proprietary Early Warning Systems (EWS) leave colleges with few…
A Sociotechnical Review of Algorithms in Health Systems: Technical, Cost, and Human-Centered Considerations
Victoria Chui, Kelly McConvey, Shion Guha
Artificial intelligence (AI) applications in healthcare are becoming increasingly prevalent, to assist health systems, providers, and patients with tasks such as decision-making, r…
Embedded Human-Centered Data Science in a Graduate Programming Course: A Framework and Case Study
Victoria Chui, Kelly McConvey, Daniel Chui +2
As AI and data-driven systems pervade practice, there is an imperative for instructors to embed societal impact and ethics content into computing courses. In response, we present t…
Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems
Inioluwa Deborah Raji, Lydia T. Liu, Angela Zhou +27
Automated decision systems (ADS) leverage predictions about individual future outcomes to inform consequential decision-making in organizational settings. Across various settings -…
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement
Ramaravind Kommiya Mothilal, Terry Jingchen Zhang, Raiyan Ahmed +3
Evaluations of social bias in LLMs largely focus on whether models generate or imply biased content. However, as LLMs are increasingly used as judges of bias, they may exhibit soci…
The Paradox of Prioritization in Public Sector Algorithms
Erina Seh-Young Moon, Shion Guha
Public sector agencies perform the critical task of implementing the redistributive role of the State by acting as the leading provider of critical public services that many rely o…
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
Kelly McConvey, Dipto Das, Maya Ghai +3
Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipelines allocate resources. Drawing on multi-year collaboration with Cen…
Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures
Dipto Das, Christelle Tessono, Syed Ishtiaque Ahmed +1
In November 2025, the Government of Canada operationalized its commitment to transparency by releasing its first Federal AI Register. In this paper, we argue that such registers ar…
Bridging Prediction and Intervention Problems in Social Systems
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou +32
Many automated decision systems (ADS) are designed to solve prediction problems -- where the goal is to learn patterns from a sample of the population and apply them to individuals…
"This is not a data problem": Algorithms and Power in Public Higher Education in Canada
Kelly McConvey, Shion Guha
Algorithmic decision-making is increasingly being adopted across public higher education. The expansion of data-driven practices by post-secondary institutions has occurred in para…