We introduce a new framework for conceiving of and studying algorithms that are deployed to aid human decision making: "algorithm-in-the-loop"systems. The algorithm-in-theloop framework centers human decision making, providing a more precise lens for studying the social impacts of algorithmic decision making aids. We report on two experiments that evaluate algorithm-in-the-loop decision making and find significant limits to these systems.
CITATION STYLE
Green, B., & Chen, Y. (2020). Algorithm-in-the-loop decision making. In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence (pp. 13663–13664). AAAI press. https://doi.org/10.1609/aaai.v34i09.7115
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