Fair Decision-Making for Food Inspections

Author:

Singh Shubham1,Shah Bhuvni2,Kanich Chris2,Kash Ian A.2

Affiliation:

1. Computer Science, University of Illinois at Chicago, USA

2. University of Illinois at Chicago, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference36 articles.

1. Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews

2. Improving the Reliability of Food Safety Disclosure: Restaurant Grading in Seattle and King County, Washington;Ashwood C;Journal of environmental health,2021

3. Big data’s disparate impact;Barocas Solon;Calif. L. Rev.,2016

4. Jack Blandin and Ian Kash. 2021. Fairness Through Counterfactual Utilities. arXiv preprint arXiv:2108.05315(2021). Jack Blandin and Ian Kash. 2021. Fairness Through Counterfactual Utilities. arXiv preprint arXiv:2108.05315(2021).

5. Toon Calders , Faisal Kamiran , and Mykola Pechenizkiy . 2009 . Building Classifiers with Independency Constraints. In 2009 IEEE International Conference on Data Mining Workshops. 13–18 . https://doi.org/10.1109/ICDMW.2009.83 ISSN: 2375 - 9259 . 10.1109/ICDMW.2009.83 Toon Calders, Faisal Kamiran, and Mykola Pechenizkiy. 2009. Building Classifiers with Independency Constraints. In 2009 IEEE International Conference on Data Mining Workshops. 13–18. https://doi.org/10.1109/ICDMW.2009.83 ISSN: 2375-9259.

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3. Food inspector scheduling with outcome and daily-schedule effects;International Journal of Production Research;2023-02-22

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