NeurIPS 2018poster53 citations
Enhancing the Accuracy and Fairness of Human Decision Making
Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
Abstract
Societies often rely on human experts to take a wide variety of decisions affecting their members, from jail-or-release decisions taken by judges and stop-and-frisk decisions taken by police officers to accept-or-reject decisions taken by academics. In this context, each decision is taken by an expert who is typically chosen uniformly at random from a pool of experts. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Can we improve the accuracy and fairness of the overall decision making process by optimizing the assignment between experts and decisions?
BibTeX
@inproceedings{NEURIPS2018_0a113ef6,
author = {Valera, Isabel and Singla, Adish and Gomez Rodriguez, Manuel},
booktitle = {Advances in Neural Information Processing Systems},
editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Enhancing the Accuracy and Fairness of Human Decision Making},
url = {https://proceedings.neurips.cc/paper_files/paper/2018/file/0a113ef6b61820daa5611c870ed8d5ee-Paper.pdf},
volume = {31},
year = {2018}
}