130 citations · 140 across the 2 of their papers we have counts for
4 papers
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park +4
Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks ranging from online comment toxicity to misinformation detection to medical diagnosis, differen…
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Chloé Bakalar, Renata Barreto, Stevie Bergman +13
Many technical approaches have been proposed for ensuring that decisions made by machine learning systems are fair, but few of these proposals have been stress-tested in real-world…
Power Networks: A Novel Neural Architecture to Predict Power Relations
Michelle Lam, Catherina Xu, Angela Kong +1
Can language analysis reveal the underlying social power relations that exist between participants of an interaction? Prior work within NLP has shown promise in this area, but the…
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships
Ryo Suzuki, Niloufar Salehi, Michelle S. Lam +2
Expert crowdsourcing marketplaces have untapped potential to empower workers' career and skill development. Currently, many workers cannot afford to invest the time and sacrifice t…