31 citations · 45 across the 7 of their papers we have counts for
9 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 Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System
Kelly McConvey, Sajad Ebrahimi, Nima Jamali +10
Photographic evidence is becoming increasingly vulnerable to forms of alteration and fabrication that existing legal and technical workflows are not well equipped to evaluate. Surv…
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…
The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence
Kelly McConvey, Jalehsadat Mahdavimoghaddam, Nima Jamali +8
The growing ability of generative models to produce realistic documents poses a direct challenge to evidentiary workflows in the justice system and the courts, where decisions incr…
DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities
Sajad Ebrahimi, Nima Jamali, Bardia Shirsalimian +8
The growing popularity and capacity of generative models have eroded the distinction between human and machine-generated content, motivating a growing body of work on detection acr…
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…
"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…
A Human-Centered Review of Algorithms in Decision-Making in Higher Education
Kelly McConvey, Shion Guha, Anastasia Kuzminykh
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 eth…