Using the Toulmin Model of Argumentation to Explore the Differences in Human and Automated Hiring Decisions

Hebah Bubakr, Chris Baber

2020

Abstract

Amazon developed an experimental hiring tool, using AI to review job applicants’ résumés, with the goal of automating the search for the best talent. However, the team found that their software was biased against women because the models were trained on résumés submitted to the company for the previous 10 years and most of these were submitted by men, reflecting male dominance in the tech business. As a result, the models learned that males were preferable, and it excluded résumés that could be inferred to come from female applicants. Gender bias was not the only issue. As well rejecting plausible candidates, problems with the data lead the models to recommend unqualified candidates for jobs. To understand the conflict in this, and similar examples, we apply Toulmin model of argumentation. By considering how arguments are constructed by a human and how a contrasting argument might be constructed by AI, we can conduct pre-mortems of potential conflict in system operation.

Paper Citation

in Harvard Style

Bubakr H. and Baber C. (2020). Using the Toulmin Model of Argumentation to Explore the Differences in Human and Automated Hiring Decisions. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP; ISBN 978-989-758-402-2, SciTePress, pages 211-216. DOI: 10.5220/0009129102110216

in Bibtex Style

@conference{hucapp20,
author={Hebah Bubakr and Chris Baber},
title={Using the Toulmin Model of Argumentation to Explore the Differences in Human and Automated Hiring Decisions},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP},
year={2020},
pages={211-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009129102110216},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP
TI - Using the Toulmin Model of Argumentation to Explore the Differences in Human and Automated Hiring Decisions
SN - 978-989-758-402-2
AU - Bubakr H.
AU - Baber C.
PY - 2020
SP - 211
EP - 216
DO - 10.5220/0009129102110216
PB - SciTePress