Algorithmic Fairness in AI
Author
Abstract
Suggested Citation
DOI: 10.1007/s12599-023-00787-x
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- James Konow, 2009.
"Is fairness in the eye of the beholder? An impartial spectator analysis of justice,"
Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(1), pages 101-127, June.
- Konow, James, 2006. "Is Fairness in the Eye of the Beholder? An Impartial Spectator Analysis of Justice," MPRA Paper 2730, University Library of Munich, Germany.
- Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
- Nima Kordzadeh & Maryam Ghasemaghaei, 2022. "Algorithmic bias: review, synthesis, and future research directions," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 388-409, May.
- Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2018.
"Human Decisions and Machine Predictions,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 237-293.
- Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2017. "Human Decisions and Machine Predictions," NBER Working Papers 23180, National Bureau of Economic Research, Inc.
- Tobias D. Krafft & Katharina A. Zweig & Pascal D. König, 2022. "How to regulate algorithmic decision‐making: A framework of regulatory requirements for different applications," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 119-136, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bar-Gil, Oshri & Ron, Tom & Czerniak, Ofir, 2024. "AI for the people? Embedding AI ethics in HR and people analytics projects," Technology in Society, Elsevier, vol. 77(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Bauer, Kevin & Gill, Andrej, 2021. "Mirror, mirror on the wall: Machine predictions and self-fulfilling prophecies," SAFE Working Paper Series 313, Leibniz Institute for Financial Research SAFE.
- Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022.
"Artificial intelligence, ethics, and intergenerational responsibility,"
Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
- Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers halshs-03237437, HAL.
- Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers 2110, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
- Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," SAFE Working Paper Series 335, Leibniz Institute for Financial Research SAFE.
- Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2022. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Post-Print hal-03778525, HAL.
- Dargnies, Marie-Pierre & Hakimov, Rustamdjan & Kübler, Dorothea, 2022.
"Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence,"
Discussion Papers, Research Unit: Market Behavior
SP II 2022-202, WZB Berlin Social Science Center.
- Dargnies, Marie-Pierre & Hakimov, Rustamdjan & Kübler, Dorothea, 2022. "Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence," Rationality and Competition Discussion Paper Series 334, CRC TRR 190 Rationality and Competition.
- Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothea Kübler, 2022. "Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence," CESifo Working Paper Series 9968, CESifo.
- Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothee Kübler, 2023. "Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence," Post-Print hal-04413060, HAL.
- Sarah Spiekermann & Hanna Krasnova & Oliver Hinz & Annika Baumann & Alexander Benlian & Henner Gimpel & Irina Heimbach & Antonia Köster & Alexander Maedche & Björn Niehaves & Marten Risius & Manuel Tr, 2022. "Values and Ethics in Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 247-264, April.
- Runshan Fu & Ginger Zhe Jin & Meng Liu, 2022. "Does Human-algorithm Feedback Loop Lead to Error Propagation? Evidence from Zillow’s Zestimate," NBER Working Papers 29880, National Bureau of Economic Research, Inc.
- Wencheng Lu, 2024. "Inevitable challenges of autonomy: ethical concerns in personalized algorithmic decision-making," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
- Fumagalli, Elena & Rezaei, Sarah & Salomons, Anna, 2022. "OK computer: Worker perceptions of algorithmic recruitment," Research Policy, Elsevier, vol. 51(2).
- Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
- Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
- Maria De‐Arteaga & Stefan Feuerriegel & Maytal Saar‐Tsechansky, 2022. "Algorithmic fairness in business analytics: Directions for research and practice," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3749-3770, October.
- Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020.
"Hiring as Exploration,"
NBER Working Papers
27736, National Bureau of Economic Research, Inc.
- Danielle Li & Lindsey Raymond & Peter Bergman, 2024. "Hiring as Exploration," Papers 2411.03616, arXiv.org.
- Jean-Marie John-Mathews & Dominique Cardon & Christine Balagué, 2022. "From Reality to World. A Critical Perspective on AI Fairness," Journal of Business Ethics, Springer, vol. 178(4), pages 945-959, July.
- Sophie-Charlotte Klose & Johannes Lederer, 2020. "A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics," Papers 2006.12296, arXiv.org, revised Jun 2020.
- Felix Chopra & Ingar Haaland, 2023.
"Conducting qualitative interviews with AI,"
CEBI working paper series
23-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
- Felix Chopra & Ingar Haaland & Ingar K. Haaland, 2023. "Conducting Qualitative Interviews with AI," CESifo Working Paper Series 10666, CESifo.
- Richard Berk, 2019. "Accuracy and Fairness for Juvenile Justice Risk Assessments," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(1), pages 175-194, March.
- Otis, Nicholas G. & Cranney, Katelyn & Delecourt, Solene & Koning, Rembrand, 2024. "Global Evidence on Gender Gaps and Generative AI," OSF Preprints h6a7c, Center for Open Science.
- Peter Leopold S. Bergman & Elizabeth Kopko & Julio Rodriguez, 2021.
"Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment,"
CESifo Working Paper Series
9157, CESifo.
- Bergman, Peter & Kopko, Elizabeth & Rodriguez, Julio, 2021. "Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment," IZA Discussion Papers 14500, Institute of Labor Economics (IZA).
- McKenzie, David & Sansone, Dario, 2019. "Predicting entrepreneurial success is hard: Evidence from a business plan competition in Nigeria," Journal of Development Economics, Elsevier, vol. 141(C).
- Robin, Stéphane & Rusinowska, Agnieszka & Villeval, Marie Claire, 2014.
"Ingratiation: Experimental evidence,"
European Economic Review, Elsevier, vol. 66(C), pages 16-38.
- Stéphane Robin & Agnieszka Rusinowska & Marie Claire Villeval, 2014. "Ingratiation: Experimental Evidence," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00911556, HAL.
- Stéphane Robin & Agnieszka Rusinowska & Marie Claire Villeval, 2014. "Ingratiation: Experimental Evidence," Post-Print halshs-00911556, HAL.
- Liyang Tang, 2020. "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers 2005.08735, arXiv.org.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:65:y:2023:i:2:d:10.1007_s12599-023-00787-x. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.