Algorithm-in-the-Loop Decision Making

Authors

  • Ben Green Harvard University
  • Yiling Chen Harvard University

DOI:

https://doi.org/10.1609/aaai.v34i09.7115

Abstract

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-the-loop 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.

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Published

2020-04-03

How to Cite

Green, B., & Chen, Y. (2020). Algorithm-in-the-Loop Decision Making. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13663-13664. https://doi.org/10.1609/aaai.v34i09.7115