Fetching the paper…
Reading the bibliography…
Predictive algorithms are now used to help distribute a large share of our society's resources and sanctions, such as healthcare, loans, criminal detentions, and tax audits.
Statistics and causal inference
Paul W Holland · 1986
Earlier work this paper cites.
The Federal Reserve Bank of Boston study on mortgage lending revisited
James H Carr, Isaac F Megbolugbe, et al · 1993
Earlier work this paper cites.
The facts of lending discrimination cannot be argued away by examining default rates
George C Galster · 1993
Earlier work this paper cites.
Racial bias in motor vehicle searches: Theory and evidence
John Knowles, Nicola Persico, and Petra Todd · 2001
Earlier work this paper cites.
Pretrial services programs: Responsibilities and potential
Barry Mahoney, Bruce D Beaudin, John A Carver III, Daniel B Ryan, and Richard B Hoffman · 2001
Earlier work this paper cites.
Outcome tests of racial disparities in police practices
Ian Ayres · 2002
Earlier work this paper cites.
Race and trust in the health care system
L Ebony Boulware, Lisa A Cooper, Lloyd E Ratner, Thomas A LaVeist, and Neil R Powe · 2003
Earlier work this paper cites.
An alternative test of racial prejudice in motor vehicle searches: Theory and evidence
Shamena Anwar and Hanming Fang · 2006
Earlier work this paper cites.
Searching for equilibrium: The tenuous nature of the outcome test
Robin S Engel and Rob Tillyer · 2008
Earlier work this paper cites.
Causal effects of perceived immutable characteristics
D James Greiner and Donald B Rubin · 2011
Earlier work this paper cites.
Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
Earlier work this paper cites.
The kidney allocation system
John J Friedewald, Ciara J Samana, Bertram L Kasiske, Ajay K Israni, Darren Stewart, Wida Cherikh, and Richard N Formica · 2013
Earlier work this paper cites.
Big data: A revolution that will transform how we live, work, and think
Viktor Mayer-Schönberger and Kenneth Cukier · 2013
Earlier work this paper cites.
Randomized controlled field trials of predictive policing
George O Mohler, Martin B Short, Sean Malinowski, Mark Johnson, George E Tita, Andrea L Bertozzi, and P Jeffrey Brantingham · 2015
Earlier work this paper cites.
Race, medical mistrust, and segregation in primary care as usual source of care: findings from the exploring health disparities in integrated communities study
MJ Arnett, Roland J Thorpe, DJ Gaskin, Janice V Bowie, and Thomas A LaVeist · 2016
Earlier work this paper cites.
Big data’s disparate impact
Solon Barocas and Andrew D Selbst · 2016
Earlier work this paper cites.
The racist algorithm
Anupam Chander · 2016
Earlier work this paper cites.
The heavy costs of high bail: Evidence from judge randomization
Arpit Gupta, Christopher Hansman, and Ethan Frenchman · 2016
Earlier work this paper cites.
Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, and Nati Srebro · 2016
Earlier work this paper cites.
Weapons of math destruction: How big data increases inequality and threatens democracy
Cathy O’Neil · 2016
Earlier work this paper cites.
Race as a bundle of sticks: Designs that estimate effects of seemingly immutable characteristics
Maya Sen and Omar Wasow · 2016
Earlier work this paper cites.
Gender, risk assessment, and sanctioning: The cost of treating women like men
Jennifer Skeem, John Monahan, and Christopher Lowenkamp · 2016
Earlier work this paper cites.
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova · 2017
Earlier work this paper cites.
Algorithmic decision making and the cost of fairness
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, and Aziz Huq · 2017
Earlier work this paper cites.
Avoiding discrimination through causal reasoning
Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Schölkopf · 2017
Earlier work this paper cites.
Inherent trade-offs in the fair determination of risk scores
Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan · 2017
Earlier work this paper cites.
Counterfactual fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva · 2017
Earlier work this paper cites.
The unintended impact of pretrial detention on case outcomes: Evidence from new york city arraignments
Emily Leslie and Nolan G. Pope · 2017
Earlier work this paper cites.
Predictive analytics for city agencies: Lessons from children’s services
Ravi Shroff · 2017
Earlier work this paper cites.
The problem of infra-marginality in outcome tests for discrimination
Camelia Simoiu, Sam Corbett-Davies, and Sharad Goel · 2017
Earlier work this paper cites.
Learning non-discriminatory predictors
Blake Woodworth, Suriya Gunasekar, Mesrob I Ohannessian, and Nathan Srebro · 2017
Earlier work this paper cites.
A causal framework for discovering and removing direct and indirect discrimination
Lu Zhang, Yongkai Wu, and Xintao Wu · 2017
Earlier work this paper cites.
Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
Earlier work this paper cites.
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions
Alexandra Chouldechova, Diana Benavides-Prado, Oleksandr Fialko, and Rhema Vaithianathan · 2018
Earlier work this paper cites.
The Public Safety Assessment: A re-validation and assessment of predictive utility and differential prediction by race and gender in Kentucky, 2018
Matthew DeMichele, Peter Baumgartner, Michael Wenger, Kelle Barrick, Megan Comfort, and Shilpi Misra · 2018
Cited alongside, same era.
The effects of pretrial detention on conviction, future crime, and employment: Evidence from randomly assigned judges
Will Dobbie, Jacob Goldin, and Crystal S. Yang · 2018
Cited alongside, same era.
Automating inequality: How high-tech tools profile, police, and punish the poor
Virginia Eubanks · 2018
Cited alongside, same era.
Machine learning, health disparities, and causal reasoning
Steven N Goodman, Sharad Goel, and Mark R Cullen · 2018
Cited alongside, same era.
Discrimination in the age of algorithms
Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan, and Cass R Sunstein · 2018
Cited alongside, same era.
Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, and Sooahn Shin · 2020
Later among the works it cites.
Racial disparities in automated speech recognition
Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R Rickford, Dan Jurafsky, and Sharad Goel · 2020
Later among the works it cites.
Ethical limitations of algorithmic fairness solutions in health care machine learning
Melissa D McCradden, Shalmali Joshi, Mjaye Mazwi, and James A Anderson · 2020
Later among the works it cites.
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities
Jessica K Paulus and David M Kent · 2020
Later among the works it cites.
Equal protection under algorithms: A new statistical and legal framework
Crystal S Yang and Will Dobbie · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Joshua R Loftus, Chris Russell, Matt J Kusner, and Ricardo Silva · 2018
Cited alongside, same era.
Fair inference on outcomes
Razieh Nabi and Ilya Shpitser · 2018
Cited alongside, same era.
Fast threshold tests for detecting discrimination
Emma Pierson, Sam Corbett-Davies, and Sharad Goel · 2018
Cited alongside, same era.
Potential for discrimination in online targeted advertising
Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, and Alan Mislove · 2018
Cited alongside, same era.
Fairness in decision-making—the causal explanation formula
Junzhe Zhang and Elias Bareinboim · 2018
Cited alongside, same era.
Is algorithmic affirmative action legal
Jason R Bent · 2019
Cited alongside, same era.
Toward algorithmic accountability in public services: A qualitative study of affected community perspectives on algorithmic decision-making in child welfare services
Anna Brown, Alexandra Chouldechova, Emily Putnam-Hornstein, Andrew Tobin, and Rhema Vaithianathan · 2019
Cited alongside, same era.
Fairness in criminal justice risk assessments: The state of the art
Richard Berk, Hoda Heidari, Shahin Jabbari, Michael Kearns, and Aaron Roth · 2021
Later among the works it cites.
Identifying students at risk using prior performance versus a machine learning algorithm
Lindsay Cattell and Julie Bruch · 2021
Later among the works it cites.
Blind justice: Algorithmically masking race in charging decisions
Alex Chohlas-Wood, Joe Nudell, Keniel Yao, Zhiyuan Lin, Julian Nyarko, and Sharad Goel · 2021
Later among the works it cites.
Impact of shotspotter technology on firearm homicides and arrests among large metropolitan counties: a longitudinal analysis, 1999–2016
Mitchell L Doucette, Christa Green, Jennifer Necci Dineen, David Shapiro, and Kerri M Raissian · 2021
Later among the works it cites.
The accuracy, equity, and jurisprudence of criminal risk assessment
Sharad Goel, Ravi Shroff, Jennifer Skeem, and Christopher Slobogin · 2021
Later among the works it cites.
Fairness, equality, and power in algorithmic decision-making
Maximilian Kasy and Rediet Abebe · 2021
Later among the works it cites.
Causal multi-level fairness
Vishwali Mhasawade and Rumi Chunara · 2021
Later among the works it cites.
Algorithmic fairness: Choices, assumptions, and definitions
Shira Mitchell, Eric Potash, Solon Barocas, Alexander D’Amour, and Kristian Lum · 2021
Later among the works it cites.
Breaking taboos in fair machine learning: An experimental study
Julian Nyarko, Sharad Goel, and Roseanna Sommers · 2021
Later among the works it cites.
An empirical characterization of fair machine learning for clinical risk prediction
Stephen R Pfohl, Agata Foryciarz, and Nigam H Shah · 2021
Later among the works it cites.
Clinical trial of an ai-augmented intervention for hiv prevention in youth experiencing homelessness
Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, and Milind Tambe · 2021
Later among the works it cites.
Diabetes screening by race and ethnicity in the United States: Equivalent body mass index and age thresholds
Rahul Aggarwal, Kirsten Bibbins-Domingo, Robert W. Yeh, Yang Song, Nicholas Chiu, Rishi K. Wadhera, Changyu Shen, and Dhruv S. Kazi · 2022
Later among the works it cites.
Designing school choice for diversity in the San Francisco Unified School District
Maxwell Allman, Itai Ashlagi, Irene Lo, Juliette Love, Katherine Mentzer, Lulabel Ruiz-Setz, and Henry O’Connell · 2022
Later among the works it cites.
Can transportation subsidies reduce failures to appear in criminal court? evidence from a pilot randomized controlled trial
Rebecca Brough, Matthew Freedman, Daniel E Ho, and David C Phillips · 2022
Later among the works it cites.
Adaptive sampling strategies to construct equitable training datasets
William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, and Sharad Goel · 2022
Later among the works it cites.
The causal fairness field guide: Perspectives from social and formal sciences
Alycia N Carey and Xintao Wu · 2022
Later among the works it cites.
A causal framework for observational studies of discrimination
Johann Gaebler, William Cai, Guillaume Basse, Ravi Shroff, Sharad Goel, and Jennifer Hill · 2022
Later among the works it cites.
Causal feature selection for algorithmic fairness
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, and Kush R Varshney · 2022
Later among the works it cites.
Dimensions of diversity in human perceptions of algorithmic fairness
Nina Grgić-Hlača, Gabriel Lima, Adrian Weller, and Elissa M. Redmiles · 2022
Later among the works it cites.
Race-aware algorithms: Fairness, nondiscrimination and affirmative action
Pauline T Kim · 2022
Later among the works it cites.
Algorithmic design: Fairness versus accuracy
Annie Liang, Jay Lu, and Xiaosheng Mu · 2022
Later among the works it cites.
Causal conceptions of fairness and their consequences
Hamed Nilforoshan, Johann D Gaebler, Ravi Shroff, and Sharad Goel · 2022
Later among the works it cites.
Illegible courts and failure to appear
Sophie Allen · 2023
Closest in time.
Learning to be fair: A consequentialist approach to equitable decision-making
Alex Chohlas-Wood, Madison Coots, Emma Brunskill, and Sharad Goel · 2023
Closest in time.
The measure and mismeasure of fairness
Sam Corbett-Davies, Johann Gaebler, Hamed Nilforoshan, Ravi Shroff, and Sharad Goel · 2023
Closest in time.
Children’s indirect exposure to the us justice system: Evidence from longitudinal links between survey and administrative data
Keith Finlay, Michael Mueller-Smith, and Brittany Street · 2023
Closest in time.
Popular support for equity in algorithmic decision-making
Allison Koenecke, Eric Giannella, Robb Willer, and Sharad Goel · 2023
Closest in time.
Risk scores, label bias, and everything but the kitchen sink
Michael Zanger-Tishler, Julian Nyarko, and Sharad Goel · 2023
Closest in time.