Intersectional Approach to Algorithmic Discrimination in Healthcare | A Comparative Legal Perspective

Malwina Anna Wójcik-Suffia

ISBN 10: 3756041700 / ISBN 13: 9783756041701

Published by Nomos Verlags GmbH, 2026

About this Item

Intersectional Approach to Algorithmic Discrimination in Healthcare | A Comparative Legal Perspective | Malwina Anna Wójcik-Suffia | Taschenbuch | Luxemburger Juristische Studien - Luxembourg Legal Studies | 327 S. | Englisch | 2026 | Nomos Verlags GmbH | EAN 9783756041701 | Verantwortliche Person für die EU: Nomos Verlagsgesellschaft mbH & Co. KG, Waldseestr. 3-5, 76530 Baden-Baden, nomos[at]nomos[dot]de | Anbieter: preigu.

Seller Inventory # 135572001

Bibliographic Details

• Title: Intersectional Approach to Algorithmic Discrimination in Healthcare | A Comparative Legal Perspective
• Publisher: Nomos Verlags GmbH
• Publication Date: 2026
• Language: English
• ISBN 10: 3756041700
• ISBN 13: 9783756041701
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 224W x 152H x 19D millimeters 224 millimeters width by 152 millimeters height by 19 millimeters depth
• Weight: 478 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The increasing use of AI in clinical decision-making offers powerful tools to address health challenges but also risks reinforcing inequalities. Clinical algorithms may reproduce intersectional discrimination arising from multiple protected grounds. While intersectionality is well established in social theory, it remains insufficient-ly operationalised in law and computer science. This book proposes an intersectional approach to developing and regulating AI-based clinical algorithms. Focusing on the EU and the US, it examines health disparities, algorithmic fairness, and antidiscrimination law, and proposes an intersectional fairness assessment frame-work for fair clinical AI.