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"This is not a data problem": Algorithms and Power in Public Higher Education in Canada
We identify the data, algorithms, and outcomes in use at the college.
Beyond Predictive Algorithms in Child Welfare
We also find that although casenotes cannot predict discharge outcomes, they contain contextual case signals.
The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases
While colonization has sociohistorically impacted people's identities across various dimensions, those colonial values and biases continue to be perpetuated by sociotechnical systems.
A Human-Centered Review of Algorithms in Decision-Making in Higher Education
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.
The Principles of Data-Centric AI (DCAI)
Data is a crucial infrastructure to how artificial intelligence (AI) systems learn.
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
The U. S. Child Welfare System (CWS) is charged with improving outcomes for foster youth; yet, they are overburdened and underfunded.
