This Thing Called Fairness

Type: Article

Publication Date: 2019-11-07

Citations: 61

DOI: https://doi.org/10.1145/3359221

Abstract

The explosion in the use of software in important sociotechnical systems has renewed focus on the study of the way technical constructs reflect policies, norms, and human values. This effort requires the engagement of scholars and practitioners from many disciplines. And yet, these disciplines often conceptualize the operative values very differently while referring to them using the same vocabulary. The resulting conflation of ideas confuses discussions about values in technology at disciplinary boundaries. In the service of improving this situation, this paper examines the value of shared vocabularies, analytics, and other tools that facilitate conversations about values in light of these disciplinary specific conceptualizations, the role such tools play in furthering research and practice, outlines different conceptions of "fairness" deployed in discussions about computer systems, and provides an analytic tool for interdisciplinary discussions and collaborations around the concept of fairness. We use a case study of risk assessments in criminal justice applications to both motivate our effort--describing how conflation of different concepts under the banner of "fairness" led to unproductive confusion--and illustrate the value of the fairness analytic by demonstrating how the rigorous analysis it enables can assist in identifying key areas of theoretical, political, and practical misunderstanding or disagreement, and where desired support alignment or collaboration in the absence of consensus.

Locations

  • Proceedings of the ACM on Human-Computer Interaction - View - PDF
  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology 2019 Deirdre K. Mulligan
Joshua A. Kroll
Nitin Kohli
Richmond Y. Wong
+ PDF Chat This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology 2019 Deirdre K. Mulligan
Joshua A. Kroll
Nitin Kohli
Richmond Y. Wong
+ A Sociotechnical View of Algorithmic Fairness 2021 Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
+ A Sociotechnical View of Algorithmic Fairness 2021 Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
+ PDF Chat A sociotechnical view of algorithmic fairness 2021 Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
+ PDF Chat Steps Towards Value-Aligned Systems 2020 Osonde Osoba
Benjamin D. Boudreaux
Douglas Yeung
+ PDF Chat How fair are we? From conceptualization to automated assessment of fairness definitions 2024 Giordano d’Aloisio
Claudio Di Sipio
Antinisca Di Marco
Davide Di Ruscio
+ PDF Chat Software Fairness Debt 2024 Ronnie de Souza Santos
Felipe Fronchetti
Sávio Freire
Rodrigo Spínola
+ PDF Chat AI Fairness in Practice 2024 David Leslie
Cami Rincón
Morgan Briggs
Antonella Perini
Smera Jayadeva
Ann Borda
SJ Bennett
Christopher Burr
Mhairi Aitken
Michael Katell
+ PDF Chat Understanding Fairness in Software Engineering: Insights from Stack Exchange 2024 Emeralda Sesari
Federica Sarro
Ayushi Rastogi
+ Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction 2023 Renee Shelby
Shalaleh Rismani
Kathryn Henne
AJung Moon
Negar Rostamzadeh
P. O. Nicholas
N'Mah Yilla-Akbari
Jess Gallegos
Andrew Smart
Emilio García García
+ PDF Chat An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists 2019 Michael Katell
Meg Young
Bernease Herman
Dharma Dailey
Aaron Tam
Vivian Guetler
Corinne Binz
Daniella Raz
P. M. Krafft
+ An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists 2019 Michael Katell
Meg Young
Bernease Herman
Dharma Dailey
Aaron Tam
Vivian Guetler
Corinne Bintz
Daniella Raz
P. M. Krafft
+ PDF Chat A Catalog of Fairness-Aware Practices in Machine Learning Engineering 2024 Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
Andrea De Lucia
Filomena Ferrucci
Gemma Catolino
Fabio Palomba
+ Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction 2022 Renee Shelby
Shalaleh Rismani
Kathryn Henne
AJung Moon
Negar Rostamzadeh
Paul Nicholas
N'Mah Yilla
Jess Gallegos
Andrew Smart
Emilio García García
+ On the Legal Compatibility of Fairness Definitions 2019 Alice Xiang
Inioluwa Deborah Raji
+ PDF Chat ACROCPoLis: A Descriptive Framework for Making Sense of Fairness 2023 Andrea Aler Tubella
Dimitri Coelho Mollo
Adam Dahlgren Lindström
Hannah Devinney
Virginia Dignum
Petter Ericson
Anna Jönsson
Timotheus Kampik
Tom Lenaerts
Julian Mendez
+ ACROCPoLis: A Descriptive Framework for Making Sense of Fairness 2023 Andrea Aler Tubella
Dimitri Coelho Mollo
Adam Dahlgren Lindström
Hannah Devinney
Virginia Dignum
Petter Ericson
Anna Jönsson
Timotheus Kampik
Tom Lenaerts
Julian Mendez
+ Fairness in Socio-technical Systems: a Case Study of Wikipedia 2023 Mir Saeed Damadi
Alan Davoust
+ PDF Chat Reflexive Design for Fairness and Other Human Values in Formal Models 2021 Benjamin Fish
Luke Stark

Works That Cite This (23)

Action Title Year Authors
+ PDF Chat A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making 2022 Jakob Schoeffer
+ PDF Chat Fairness in recommender systems: research landscape and future directions 2023 Yashar Deldjoo
Dietmar Jannach
Alejandro Bellogín
Alessandro Difonzo
Dario Zanzonelli
+ PDF Chat Detecting shortcut learning for fair medical AI using shortcut testing 2023 Alexander Brown
Nenad Tomašev
Jan Freyberg
Yuan Liu
Alan Karthikesalingam
Jessica Schrouff
+ Broadening Privacy and Surveillance: Eliciting Interconnected Values with a Scenarios Workbook on Smart Home Cameras 2023 Richmond Y. Wong
Jason Valdez
Ashten Alexander
Ariel Chiang
Olivia Quesada
James Pierce
+ PDF Chat A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning 2023 Youmi Suk
Kyung T. Han
+ PDF Chat Uncovering Bias in Personal Informatics 2023 Sofia Yfantidou
Pavlos Sermpezis
Athena Vakali
Ricardo Baeza‐Yates
+ Normative Challenges of Risk Regulation of Artificial Intelligence and Automated Decision-Making 2022 Carsten Orwat
Jascha Bareis
Anja Folberth
Jutta Jahnel
Christian Wadephul
+ Reconfiguring Diversity and Inclusion for AI Ethics 2021 Nicole Chi
Emma Lurie
Deirdre K. Mulligan
+ PDF Chat A Critical Survey on Fairness Benefits of Explainable AI 2024 Luca Deck
Jakob Schoeffer
Maria De‐Arteaga
Niklas Kühl
+ Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems 2022 Avinash Agarwal
Harsh Agarwal
Nihaarika Agarwal