Algorithm-in-the-Loop Decision Making

AAAI 2020 pp. 13663-13664

doi:10.1609/AAAI.V34I09.7115 /aaai/2020/green2020aaai-algorithm/

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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Cite

Text

Green and Chen. "Algorithm-in-the-Loop Decision Making." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I09.7115

Markdown

[Green and Chen. "Algorithm-in-the-Loop Decision Making." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/green2020aaai-algorithm/) doi:10.1609/AAAI.V34I09.7115

BibTeX

@inproceedings{green2020aaai-algorithm,
  title     = {{Algorithm-in-the-Loop Decision Making}},
  author    = {Green, Ben and Chen, Yiling},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13663-13664},
  doi       = {10.1609/AAAI.V34I09.7115},
  url       = {https://mlanthology.org/aaai/2020/green2020aaai-algorithm/}
}