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.
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Taschenbuch. Zustand: Neu. Neuware -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. 329 pp. Englisch. Bestandsnummer des Verkäufers 9783756041701
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Taschenbuch. Zustand: Neu. Neuware -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. 329 pp. Englisch. Bestandsnummer des Verkäufers 9783756041701
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Taschenbuch. Zustand: Neu. Neuware -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. Bestandsnummer des Verkäufers 9783756041701
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Taschenbuch. Zustand: Neu. Neuware -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.Nomos Verlagsgesellschaft mbH & Co. KG, Waldseestraße 3-5, 76530 Baden-Baden 329 pp. Englisch. Bestandsnummer des Verkäufers 9783756041701
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Taschenbuch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9783756041701
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Taschenbuch. Zustand: Neu. 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. Bestandsnummer des Verkäufers 135572001
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