Diversity in Sociotechnical Machine Learning Systems

19 July 2021

Papers citing "Diversity in Sociotechnical Machine Learning Systems"

19 / 19 papers shown

Title
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations Aida Mostafazadeh Davani Mark Díaz Vinodkumar Prabhakaran 35 312 0 12 Oct 2021
Human-AI Collaboration with Bandit Feedback Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Min Kyung Lee Matthew Lease 131 49 0 22 May 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 15 69 0 25 Feb 2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 15 22 0 24 Jan 2021
Fair Machine Learning Under Partial Compliance Jessica Dai S. Fazelpour Zachary Chase Lipton 18 10 0 07 Nov 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 51 40 0 17 Jun 2020
Designing for Human Rights in AI Evgeni Aizenberg J. van den Hoven 23 109 0 11 May 2020
Learning to Complement Humans Bryan Wilder Eric Horvitz Ece Kamar 110 168 0 01 May 2020
Diversity and Inclusion Metrics in Subset Selection Margaret Mitchell Dylan K. Baker Nyalleng Moorosi Emily L. Denton Ben Hutchinson A. Hanna Timnit Gebru Jamie Morgenstern FaML 160 86 0 09 Feb 2020
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism Keri Mallari K. Quinn Paul Johns Sarah Tan Divya Ramesh Ece Kamar FaML 28 30 0 04 Feb 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 28 101 0 08 Jan 2020
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring Andi Peng Besmira Nushi Emre Kıcıman K. Quinn Siddharth Suri Ece Kamar 29 52 0 08 Sep 2019
The Diversity-Innovation Paradox in Science Bas Hofstra V. V. Kulkarni Sebastian Munoz-Najar Galvez Bryan He Dan Jurafsky Daniel A. McFarland 64 672 0 04 Sep 2019
Artificial Intelligence: the global landscape of ethics guidelines Anna Jobin M. Ienca E. Vayena 65 1,607 0 24 Jun 2019
Investigating Human + Machine Complementarity for Recidivism Predictions S. Tan Julius Adebayo K. Quinn Ece Kamar FaML 39 54 0 28 Aug 2018
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World S. Shankar Yoni Halpern Eric Breck James Atwood Jimbo Wilson D. Sculley 55 293 0 22 Nov 2017
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 115 220 0 17 Nov 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 288 2,098 0 24 Oct 2016
How to be Fair and Diverse? L. E. Celis Amit Deshpande Tarun Kathuria Nisheeth K. Vishnoi FaML 56 80 0 23 Oct 2016