Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures

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Highly Accurate, But Still Discriminatory

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Blind Justice: Fairness with Encrypted Sensitive AttributesPreprint

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FairUDT: Fairness-aware Uplift Decision Trees

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Towards ethical pricing fairness enhancement using mean penalty reduction method

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Why unbiased computational processes can lead to discriminative decision procedures (Chapter 3)

Calders, T. T., & Zliobaite, I. I. (2013) · TU/e Research Portal

Measuring discrimination in algorithmic decision making

Žliobaitė, I. (2017) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-017-0506-1 · Cited by 272 · see citing works

A method for discrimination prevention in automated decesion making

Kadam, S. S., & Vora, D. R. (2016) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/inventive.2016.7823233

Machine-learning discrimination: Bias in, bias out

Calders, T. (2019) · International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/icicis46948.2019.9014827 · Cited by 3 · see citing works

Unveiling systematic biases in decisional processes:an application to discrimination discovery

Genga, L., Allodi, L., & Zannone, N. (2019) · TU/e Research Portal · Cited by 1 · see citing works