EK Kelan - Human Resource Management Journal, 2023 - Wiley Online Library
… In examining the development of algorithmic inclusion in AI-supported hiring, this section focuses on three areas: data, design and decisions. Although these are intertwined, by …
A Bongard - Psychosociological Issues in Human Resource …, 2019 - ceeol.com
… as regards the adoption of artificialintelligence recruitment is inferior to position concerning the hiring company. Organizations can embrace artificialintelligence recruitment to deduce …
M Langenkamp, A Costa, C Cheung - arXiv preprint arXiv:2004.07132, 2020 - arxiv.org
… Why we should focus on weak artificialintelligence for the moment. TechTalks, 2018. https://bdtechtalks.com/2018/04/23/strong-ai-vs-weak-ai-deep-learning/ 43 Srivastava, Sanjay. …
G Bekken - Psychosociological Issues in Human Resource …, 2019 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to better understand the relationship between evidence-based management practices, artificialintelligence …
J Yam, JA Skorburg - Ethics and Information Technology, 2021 - Springer
… in hiringalgorithms. It determines which of the assessments can help … audit their hiring algorithms and close the algorithmic … hiring systems, Illinois passed the ArtificialIntelligence Video …
… An antistereotyping approach offers guidance for improving hiringalgorithms and the uses to … algorithm using artificialintelligence (AI) that could rank job candidates to automate hiring.…
… ArtificialIntelligence (AI) is currently an object of conversations of two highly contrasting debates: one group says that AI will help to create a more ethical world by bringing objectivity …
K Roemmich, T Rosenberg, S Fan… - Proceedings of the ACM …, 2023 - dl.acm.org
… Pointing to tensions between company claims and broader algorithmic fairness and equity scholarship, we argue that EAI service claims dangerously obscure the potential harms …
… of the specialists creating artificialintelligence (AI) systems. Originality/value – This work uses equity as a central concept for considering algorithmic bias in talent acquisition. Feminist …