565 citations · 837 across the 31 of their papers we have counts for
4 papers · 1 filter
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness
Daniel E. Ho, Alice Xiang
While there has been a flurry of research in algorithmic fairness, what is less recognized is that modern antidiscrimination law may prohibit the adoption of such techniques. We ma…
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Javier Antorán, Yunfeng Zhang +12
Algorithmic transparency entails exposing system properties to various stakeholders for purposes that include understanding, improving, and contesting predictions. Until now, most…
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
McKane Andrus, Elena Spitzer, Jeffrey Brown +1
As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. However, these practitioners often d…
Machine Learning Explainability for External Stakeholders
Umang Bhatt, McKane Andrus, Adrian Weller +1
As machine learning is increasingly deployed in high-stakes contexts affecting people's livelihoods, there have been growing calls to open the black box and to make machine learnin…