JOURNAL ARTICLE
Adverse Impact Analysis in Applicant Flow: The Challenge of Artificial Intelligence Tools.
Published In: Employment & Labor Relations Law, 2026, v. 19, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Shippen, Benjamin 3 of 3
Abstract
The article focuses on the challenges of adverse impact analysis in applicant flow processes involving artificial intelligence (AI) tools used by U.S. companies. It highlights the 2025 California case Mobley v. Workday, where plaintiffs allege that Workday’s AI-based applicant recommendation system discriminates against applicants aged 40 and over by disproportionately screening them out. The article explains that AI tools, while offering operational efficiencies in managing large applicant volumes, may unintentionally create legal risks by causing adverse impact based on age, gender, or race/ethnicity at various hiring stages. It emphasizes the importance for employers and legal counsel to carefully analyze and monitor AI-driven hiring processes to detect and mitigate potential discrimination. [Extracted from the article]
Additional Information
- Source:Employment & Labor Relations Law. 2026/04, Vol. 19, Issue 1, p1
- Document Type:Article
- Subject Area:Law
- Publication Date:2026
- ISSN:1937-3406
- Accession Number:193187091
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