Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal

Eliciting and enforcing subjective individual fairness

Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, and Zhiwei Steven Wu. 2019 · 1905

Earlier work this paper cites.

Bias and error in human judgment

Arie W Kruglanski and Icek Ajzen. 1983 · 1983

Earlier work this paper cites.

Incentives to counter bias in human computation. In Second AAAI conference on human computation and crowdsourcing

Boi Faltings, Radu Jurca, Pearl Pu, and Bao Duy Tran. 2014 · 2014

Earlier work this paper cites.

Automated Experiments on Ad Privacy Settings

Amit Datta, Michael Carl Tschantz, and Anupam Datta. 2015 · 2015

Earlier work this paper cites.

Battling algorithmic bias: how do we ensure algorithms treat us fairly?

Keith Kirkpatrick. 2016 · 2016

Earlier work this paper cites.

Algorithmic Bias in Autonomous Systems.. In IJCAI , Vol. 17. 4691–4697

David Danks and Alex John London. 2017 · 2017

Earlier work this paper cites.

An introduction to hybrid human-machine information systems

Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, and Michele Catasta. 2017 · 2017

Earlier work this paper cites.

A deeper look at dataset bias

Tatiana Tommasi, Novi Patricia, Barbara Caputo, and Tinne Tuytelaars. 2017 · 2017

Earlier work this paper cites.

Bias on the web

Ricardo Baeza-Yates. 2018 · 2018

Cited alongside, same era.

Cognitive Biases in Crowdsourcing. In Proceedings of WSDM . 162–170

Carsten Eickhoff. 2018 · 2018

Cited alongside, same era.

Investigating user perception of gender bias in image search: the role of sexism. In The 41st International ACM SIGIR conference on research & development in information retrieval . 933–936

Jahna Otterbacher, Alessandro Checco, Gianluca Demartini, and Paul Clough. 2018 · 2018

Cited alongside, same era.

An empirical study of rich subgroup fairness for machine learning. In Proceedings of the Conference on Fairness, Accountability, and Transparency . 100–109

Michael Kearns, Seth Neel, Aaron Roth, and Zhiwei Steven Wu. 2019 · 2019

Cited alongside, same era.

Dissecting racial bias in an algorithm used to manage the health of populations

Ziad Obermeyer, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. 2019 · 2019

Cited alongside, same era.

Fairness in machine learning

Luca Oneto and Silvia Chiappa. 2020 · 2020

Later among the works it cites.

Dealing with bias and fairness in data science systems: A practical hands-on tutorial. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 3513–3514

Pedro Saleiro, Kit T Rodolfa, and Rayid Ghani. 2020 · 2020

Later among the works it cites.

The Battle for Data Science

Jeffrey D Ullman. 2020 · 2020

Later among the works it cites.

Investigating bias and fairness in facial expression recognition. In European Conference on Computer Vision . Springer, 506–523

Original

Tian Xu, Jennifer White, Sinan Kalkan, and Hatice Gunes. 2020 · 2020

Later among the works it cites.

How We Analyzed the COMPAS Recidivism Algorithm

Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin. 2016 · 2021

Closest in time.