Responsible Model Selection with Virny and VirnyView
Author:
Affiliation:
1. Ukrainian Catholic University, Lviv, UA
2. New York University, New York, NY, USA
Funder
NSF
UL Research Institutes through the Center for Advancing Safety of Machine Intelligence
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626246.3654738
Reference22 articles.
1. AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
2. Irene Chen, Fredrik D Johansson, and David Sontag. 2018. Why is my classifier discriminatory? Advances in neural information processing systems , Vol. 31 (2018).
3. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
4. Anamaria Crisan Margaret Drouhard Jesse Vig and Nazneen Rajani. 2022. Interactive model cards: A human-centered approach to model documentation. In ACM FAccT. 427--439.
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