State v. Loomis
Law Review Editors. 2017 · 2017
Later among the works it cites.
Algorithmic Mediation in Group Decisions: Fairness Perceptions of Algorithmically Mediated vs. Discussion-Based Social Division. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’17) . ACM, New York, NY, USA, 1035–1048
Min Kyung Lee and Su Baykal. 2017 · 2017
Later among the works it cites.
Does mitigating ML’s impact disparity require treatment disparity?
Original
Zachary C Lipton, Alexandra Chouldechova, and Julian McAuley. 2017 · 2017
Later among the works it cites.
Data Vision: Learning to See Through Algorithmic Abstraction. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW ’17 . ACM Press, New York, New York, USA, 2436–2447
Samir Passi and Steven Jackson. 2017 · 2017
Later among the works it cites.
Algorithms as culture: Some tactics for the ethnography of algorithmic systems
Nick Seaver. 2017 · 2017
Later among the works it cites.
A not quite random walk: Experimenting with the ethnomethods of the algorithm
Malte Ziewitz. 2017 · 2017
Later among the works it cites.
Interventions over predictions: Reframing the ethical debate for actuarial risk assessment
Chelsea Barabas, Karthik Dinakar, Joichi Ito Virza, Jonathan Zittrain, et al · 2018
Later among the works it cites.
Fairness in criminal justice risk assessments: The state of the art
Richard Berk, Hoda Heidari, Shahin Jabbari, Michael Kearns, and Aaron Roth. 2018 · 2018
Later among the works it cites.
’It’s Reducing a Human Being to a Percentage’: Perceptions of Justice in Algorithmic Decisions. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . ACM, 377
Reuben Binns, Max Van Kleek, Michael Veale, Ulrik Lyngs, Jun Zhao, and Nigel Shadbolt. 2018 · 2018
Later among the works it cites.
Automated decision-making on the basis of personal data that has been transferred from the EU to companies certified under the EU-U.S. Privacy Shield: Fact-finding and assessment of safeguards provided by U.S. law
Gabriela Bodea, Kristina Karanikolova, Deirdre K. Mulligan, and Jael Makagon. 2018 · 2018
Later among the works it cites.
Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on Fairness, Accountability and Transparency . 77–91
Joy Buolamwini and Timnit Gebru. 2018 · 2018
Later among the works it cites.
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. In Conference on Fairness, Accountability and Transparency . 134–148
Alexandra Chouldechova, Diana Benavides-Prado, Oleksandr Fialko, and Rhema Vaithianathan. 2018 · 2018
Later among the works it cites.
Using Behavioral Science to Improve Criminal Justice Outcomes
Brice Cooke, Binta Zahra Diop, Alissa Fishbane, Jonathan Hayes, Aurelie Ouss, and Anuj Shah. 2018 · 2018
Later among the works it cites.
The measure and mismeasure of fairness: A critical review of fair machine learning
Original
Sam Corbett-Davies and Sharad Goel. 2018 · 2018
Later among the works it cites.
The impact of algorithms on judicial discretion: Evidence from regression discontinuities
Bo Cowgill. 2018 · 2018
Later among the works it cites.
The accuracy, fairness, and limits of predicting recidivism
Julia Dressel and Hany Farid. 2018 · 2018
Later among the works it cites.
Automating inequality: How high-tech tools profile, police, and punish the poor
Virginia Eubanks. 2018 · 2018
Later among the works it cites.
The ACM Conference on Fairness, Accountability, and Transparency (FAT ∗ )
fat Since 2018 · 2018
Later among the works it cites.
Fairness in Machine Learning: Limitations and Opportunities
Moritz Hardt, Solon Barocas, and Arvind Narayanan. 2018 · 2018
Later among the works it cites.
The Disparate Effects of Strategic Manipulation
Original
Lily Hu, Nicole Immorlica, and Jennifer Wortman Vaughan. 2018 · 2018
Later among the works it cites.
Measurement and Fairness
Abigail Z. Jacobs and Hanna Wallach. 2018 · 2018
Later among the works it cites.
The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition
Os Keyes. 2018 · 2018
Later among the works it cites.
Report from the First AFOG Summer Workshop
Daniel Kluttz, Jenna Burrell, Deirdre Mulligan, Joshua A. Kroll, Amit Elazari, and Andrew Smart. 2018 · 2018
Later among the works it cites.
Eddie Murphy and the Dangers of Counterfactual Causal Thinking About Detecting Racial Discrimination
Issa Kohler-Hausmann. 2018 · 2018
Later among the works it cites.
Epsilon Voting: Mechanism Design for Parameter Selection in Differential Privacy. In 2018 IEEE Symposium on Privacy-Aware Computing (PAC) . IEEE, 19–30
Nitin Kohli and Paul Laskowski. 2018 · 2018
Later among the works it cites.
Common Pitfalls for Studying the Human Side of Machine Learning
Joshua A. Kroll, Nitin Kohli, and Deirdre Mulligan. 2018 · 2018
Later among the works it cites.
The Social Cost of Strategic Classification
Original
Smitha Milli, John Miller, Anca D Dragan, and Moritz Hardt. 2018 · 2018
Later among the works it cites.
Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions
Shira Mitchell, Eric Potash, and Solon Barocas. 2018 · 2018
Later among the works it cites.
Mirror, Mirror: Reflections on Quantitative Fairness
Shira Mitchell and Jackie Shadlen. 2018 · 2018
Later among the works it cites.
Saving Governance-by-Design
Deirdre K Mulligan and Kenneth A Bamberger. 2018 · 2018
Later among the works it cites.
21 Definitions of Fairness and Their Politics
Arvind Narayanan. 2018 · 2018
Later among the works it cites.
Mayor de Blasio Announces First-In-Nation Task Force To Examine Automated Decision Systems Used By The City
New York City Press Office. 2018 · 2018
Later among the works it cites.
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Samir Passi and Steven J Jackson. 2018 · 2018
Later among the works it cites.
A systematic review of provenance systems
Beatriz Pérez, Julio Rubio, and Carlos Sáenz-Adán. 2018 · 2018
Later among the works it cites.
Values and Ethics in Human-Computer Interaction
Katie Shilton. 2018 · 2018
Later among the works it cites.
Assessing risk assessment in action
Megan Stevenson. 2018 · 2018
Later among the works it cites.
Fairness definitions explained. In 2018 IEEE/ACM International Workshop on Software Fairness (FairWare) . IEEE, 1–7
Sahil Verma and Julia Rubin. 2018 · 2018
Later among the works it cites.
The Changing Contours of "Participation" in Data-driven, Algorithmic Ecosystems: Challenges, Tactics, and an Agenda. In Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW ’18 . ACM Press, New York, New York, USA, 377–384
Christine T Wolf, Haiyi Zhu, Julia Bullard, Min Kyung Lee, and Jed R Brubaker. 2018 · 2018
Later among the works it cites.
Value-Sensitive Algorithm Design: Method, Case Study, and Lessons
Haiyi Zhu, Bowen Yu, Aaron Halfaker, and Loren Terveen. 2018 · 2018
Later among the works it cites.
Machine Learning Risk Assessments in Criminal Justice Settings
Richard Berk. 2019 · 2019
Closest in time.
Judicial Council Funds 16 Pretrial Pilot Programs
California Judicial Council. 2019 · 2019
Closest in time.
The Accuracy, Equity, and Jurisprudence of Criminal Risk Assessment
Sharad Goel, Ravi Shroff, Jennifer L Skeem, and Christopher Slobogin. 2019 · 2019
Closest in time.
Disparate interactions: An algorithm-in-the-loop analysis of fairness in risk assessments. In Proceedings of the Conference on Fairness, Accountability, and Transparency . ACM, 90–99
Ben Green and Yiling Chen. 2019 · 2019
Closest in time.
Improving fairness in machine learning systems: What do industry practitioners need?. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . ACM, 600
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudik, and Hanna Wallach. 2019 · 2019
Closest in time.
Conceptions, Definitions, and Practices of Fair, Transparent, and Accountable AI
Joshua A. Kroll and Emmanuel Moss. 2019 · 2019
Closest in time.
Report on Algorithmic Risk Assessment Tools in the U.S. Criminal Justice System
Partnership on AI. 2019 · 2019
Closest in time.
Fairness and abstraction in sociotechnical systems. In Proceedings of the Conference on Fairness, Accountability, and Transparency . ACM, 59–68
Andrew D Selbst, Danah Boyd, Sorelle A Friedler, Suresh Venkatasubramanian, and Janet Vertesi. 2019 · 2019
Closest in time.
The Institutional Life of Algorithmic Risk Assessment
Alicia Solow-Niederman, YooJung Choi, and Guy Van den Broeck. 2019 · 2019
Closest in time.
A right to reasonable inferences: re-thinking data protection law in the age of big data and AI
Sandra Wachter and Brent Mittelstadt. 2019 · 2019
Closest in time.