Summary contributed by Nga Than (@NgaThanNYC), Senior Data Scientist at Prudential Financial. [Original paper by Amy Heger, Elizabeth B.
Predatory Medicine: Exploring and Measuring the Vulnerability of Medical AI to Predatory Science
π¬ Research Summary by Shalini Saini, a doctoral researcher exploring privacy and security of AI in Medicine, Voice Biometrics, and Mobile Apps. She is
Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications
π¬ Research Summary by Grace Wright, Business Development Manager at a technology start-up and has worked in research roles focused on responsible and
Human-centred mechanism design with Democratic AI
π¬ Research summary by Connor Wright, our Partnerships Manager. [Original paper by Raphael Koster, Balaguer Jan, Andrea Tacchetti, Ari
Fair and explainable machine learning under current legal frameworks
π¬ Research Summary by Przemyslaw Grabowicz, a Research Assistant Professor of Computer Science at the University of Massachusetts
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection and Use in the Pursuit of Fairness
π¬ Research Summary by Sarah Villeneuve, a Program Lead working on Fairness, Transparency, and Accountability at the Partnership on
Promises and Challenges of Causality for Ethical Machine Learning
π¬ Research Summary by Aida Rahmattalabi, a PhD in computer science at the University of Southern California where she focused on developing
An Algorithmic Introduction to Savings Circles
π¬ Research Summary by Christian Ikeokwu, a PhD Student in Computer Science at UC Berkeley with a focus on Theoretical Computer Science and Artificial
(Re)Politicizing Digital Well-Being: Beyond User Engagements
π¬ Research Summary by Niall Docherty and Asia Biega. Dr Niall Docherty is focused on analyzing, critiquing, and building βhealthyβ sociotechnical
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML
π¬ Research Summary by Lindsay Weinberg, a Clinical Assistant Professor in the John Martinson Honors College at Purdue University, and the Founding
An Empirical Study of Modular Bias Mitigators and Ensembles
π¬ Research Summary by Michael Feffer, a Societal Computing PhD student at Carnegie Mellon University. [Original paper by Michael Feffer,
Who will share Fake-News on Twitter? Psycholinguistic cues in online post histories discriminate between actors in the misinformation ecosystem
π¬ Research Summary by Verena Schoenmueller, an Assistant Professor in the Marketing Department at Bocconi University. Verenaβs research focuses on how