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Fair and unbiased algorithmic decision making : current state and future challenges
Tolan, Songül - 2018
Machine learning algorithms are now frequently used in sensitive contexts that substantially affect the course of human … overwhelming evidence showing that algorithms can inherit or even perpetuate human biases in their decision making when they are …, fairness constraints in algorithms have to be specific to the domains to which the algorithms are applied. In the future …
Persistent link: https://www.econbiz.de/10012059236
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Algorithmic bias and the Value Sensitive Design approach
Simon, Judith; Wong, Pak Hang; Rieder, Gernot - In: Internet policy review : journal on internet regulation 9 (2020) 4, pp. 1-16
Recently, amid growing awareness that computer algorithms are not neutral tools but can cause harm by reproducing and …
Persistent link: https://www.econbiz.de/10012499910
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Algorithmic bias in machine learning-based marketing models
Akter, Shahriar; Dwivedi, Yogesh Kumar; Sajib, Shahriar; … - In: Journal of business research : JBR 144 (2022), pp. 201-216
Persistent link: https://www.econbiz.de/10013184968
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Can unbiased predictive AI amplify bias?
Khan, Tanvir Ahmed - 2023
Predictive AI is increasingly used to guide decisions on agents. I show that even a bias-neutral predictive AI can potentially amplify exogenous (human) bias in settings where the predictive AI represents a cost-adjusted precision gain to unbiased predictions, and the final judgments are made by...
Persistent link: https://www.econbiz.de/10014452605
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Collusion by algorithm : does better demand prediction facilitate coordination between sellers?
Miklós-Thal, Jeanine; Tucker, Catherine - In: Management science : journal of the Institute for … 65 (2019) 4, pp. 1552-1561
Persistent link: https://www.econbiz.de/10012022643
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Algorithmic fairness
Das, Sanjiv R.; Stanton, Richard; Wallace, Nancy E. - In: Annual review of financial economics 15 (2023), pp. 565-593
Persistent link: https://www.econbiz.de/10014427158
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Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
Abedin, Mohammad Zoynul (ed.); Hájek, Petr (ed.) - 2023
Improvement of the Performance of Classification Algorithms in the Case of Financial Data -- 6. Default Risk Prediction Based on …
Persistent link: https://www.econbiz.de/10014226726
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Robots and computers enhance us more than they replace us
Diamond, Arthur M. - In: The American economist : journal of the International … 65 (2020) 1, pp. 4-10
Persistent link: https://www.econbiz.de/10012167338
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Remedies against bias in analytics systems
Edwards, John Steven; Rodriguez, Eduardo - In: Journal of business analytics 2 (2019) 1, pp. 74-87
Persistent link: https://www.econbiz.de/10012170266
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Platform design when sellers use pricing algorithms
Johnson, Justin; Rhodes, Andrew; Wildenbeest, Matthijs R. - 2020
Persistent link: https://www.econbiz.de/10012385066