🔬 Research Summary by Aida Rahmattalabi, a PhD in computer science at the University of Southern California where she focused on developing data-driven and trustworthy algorithms to guide public health … [Read more...] about Promises and Challenges of Causality for Ethical Machine Learning
Research Summaries
An Algorithmic Introduction to Savings Circles
🔬 Research Summary by Christian Ikeokwu, a PhD Student in Computer Science at UC Berkeley with a focus on Theoretical Computer Science and Artificial Intelligence. [Original paper by Rediet Abebe, Adam Eck, … [Read more...] about An Algorithmic Introduction to Savings Circles
(Re)Politicizing Digital Well-Being: Beyond User Engagements
🔬 Research Summary by Niall Docherty and Asia Biega. Dr Niall Docherty is focused on analyzing, critiquing, and building ‘healthy’ sociotechnical systems, currently at Microsoft Research New England, and, from … [Read more...] about (Re)Politicizing Digital Well-Being: Beyond User Engagements
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML
🔬 Research Summary by Lindsay Weinberg, a Clinical Assistant Professor in the John Martinson Honors College at Purdue University, and the Founding Director of the Tech Justice Lab. [Original paper by Lindsay … [Read more...] about Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML
An Empirical Study of Modular Bias Mitigators and Ensembles
🔬 Research Summary by Michael Feffer, a Societal Computing PhD student at Carnegie Mellon University. [Original paper by Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham … [Read more...] about An Empirical Study of Modular Bias Mitigators and Ensembles