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Human decisions and machine predictions
Kleinberg, Jon; Lakkaraju, Himabindu; Leskovec, Jure; … - In: The quarterly journal of economics 133 (2017) 1, pp. 237-293
Persistent link: https://www.econbiz.de/10012036818
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Discrimination in the age of algorithms
Kleinberg, Jon; Ludwig, Jens; Mullainathan, Sendhil; … - 2019
The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
Persistent link: https://www.econbiz.de/10012040091
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Discrimination in the age of algorithms
Kleinberg, Jon; Ludwig, Jens; Mullainathan, Sendhil; … - 2019
Persistent link: https://www.econbiz.de/10011984085
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Human decisions and machine predictions
Kleinberg, Jon; Lakkaraju, Himabindu; Leskovec, Jure; … - 2017
Persistent link: https://www.econbiz.de/10011624354
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An economic approach to regulating algorithms
Rambachan, Ashesh; Kleinberg, Jon; Mullainathan, Sendhil; … - 2020
Persistent link: https://www.econbiz.de/10012232688
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Algorithmic fairness
Kleinberg, Jon; Ludwig, Jens; Mullainathan, Sendhil; … - In: AEA papers and proceedings 108 (2018), pp. 22-27
Persistent link: https://www.econbiz.de/10011888097
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From Predictive Algorithms to Automatic Generation of Anomalies
Mullainathan, Sendhil; Rambachan, Ashesh - 2023
We ask how machine learning can change a crucial step of the scientific process in economics: the advancement of theories through the discovery of "anomalies." Canonical examples of anomalies include the Allais Paradox and the Kahneman-Tversky choice experiments, which are concrete examples of...
Persistent link: https://www.econbiz.de/10014354788
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Discrimination In The Age Of Algorithms
Kleinberg, Jon - 2019
The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
Persistent link: https://www.econbiz.de/10012479502
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An Economic Approach to Regulating Algorithms
Rambachan, Ashesh - 2020
objective function for the algorithm designer and a model of their information sets and interaction. We build such a model that … allows the training data to exhibit a wide range of "biases." Prevailing wisdom is that biased data change how the algorithm … is trained and whether an algorithm should be used at all. In contrast, we find two striking irrelevance results. First …
Persistent link: https://www.econbiz.de/10012481694
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Fragile algorithms and fallible decision-makers : lessons from the justice system
Ludwig, Jens; Mullainathan, Sendhil - In: The journal of economic perspectives : a journal of the … 35 (2021) 4, pp. 71-96
Persistent link: https://www.econbiz.de/10012694649