4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 1 cited
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling
Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar +2
This paper formulates a new task of extracting privacy parameters from a privacy policy, through the lens of Contextual Integrity, an established social theory framework for reason…
cs.LG2019★ 4 cited
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers
Ananth Balashankar, Alyssa Lees, Chris Welty +1
The potential for learned models to amplify existing societal biases has been broadly recognized. Fairness-aware classifier constraints, which apply equality metrics of performance…
cs.LG2019★ 1 cited
Fairness Sample Complexity and the Case for Human Intervention
Ananth Balashankar, Alyssa Lees
With the aim of building machine learning systems that incorporate standards of fairness and accountability, we explore explicit subgroup sample complexity bounds. The work is moti…