P. Plackis-Cheng, T. Chalasani, and S. Palme. FINDHR Expert Reports, Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR), Barcelona, (December 2023)
Abstract
Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As with other applications of AI, it is vulnerable to perpetuating discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation. FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes, and meaningfully incorporate human expertise. Moreover, it aims to create procedures for software development, monitoring, and training. On completion, the project’s publications, software, courseware and datasets will be made freely available to the public under free and open licenses
%0 Report
%1 plackischeng2023ensuring
%A Plackis-Cheng, Paksy
%A Chalasani, Tejo
%A Palme, Sabrina
%C Barcelona
%D 2023
%K adm artificial_intelligence automatic_decision_making hrm human_resource_management
%T Ensuring Human Intelligence in AI hiring tools
%U https://findhr.eu/wp-content/uploads/2024/01/FINDHR-Expert-Report_by-Paksy-Plackis-Cheng-et-al.pdf
%X Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As with other applications of AI, it is vulnerable to perpetuating discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation. FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes, and meaningfully incorporate human expertise. Moreover, it aims to create procedures for software development, monitoring, and training. On completion, the project’s publications, software, courseware and datasets will be made freely available to the public under free and open licenses
@techreport{plackischeng2023ensuring,
abstract = {Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As with other applications of AI, it is vulnerable to perpetuating discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation. FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes, and meaningfully incorporate human expertise. Moreover, it aims to create procedures for software development, monitoring, and training. On completion, the project’s publications, software, courseware and datasets will be made freely available to the public under free and open licenses},
added-at = {2024-02-28T13:42:31.000+0100},
address = {Barcelona},
author = {Plackis-Cheng, Paksy and Chalasani, Tejo and Palme, Sabrina},
biburl = {https://www.bibsonomy.org/bibtex/2914231266724983ee84f40c109652dbf/meneteqel},
institution = {Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR)},
interhash = {6cc7c0c3117f005880469daefdf61e71},
intrahash = {914231266724983ee84f40c109652dbf},
keywords = {adm artificial_intelligence automatic_decision_making hrm human_resource_management},
language = {en-UK},
month = dec,
timestamp = {2024-02-28T13:42:31.000+0100},
title = {Ensuring Human Intelligence in AI hiring tools},
type = {FINDHR Expert Reports},
url = {https://findhr.eu/wp-content/uploads/2024/01/FINDHR-Expert-Report_by-Paksy-Plackis-Cheng-et-al.pdf},
year = 2023
}