The Accuracy-Explainability Trade-off, the Right to Explanation, and the Implications for Organisations

Abstract Algorithms increasingly shape access to employment, credit, healthcare, and justice, yet the basis on which they do so is often opaque. A growing literature argues that affected individuals have a right to explanation, grounded in their interest in informed self-advocacy: the ability to understand and respond to decisions that bear on their life prospects. We examine whether this interest can sustain such a right. Explanations that serve self-advocacy must be reliable (truth-tracking) and verifiable (open to independent check). We show that in open-ended decision environments, where evaluative criteria must be discovered rather than stipulated in advance, reliability and verifiability conflict with accuracy. This trade-off arises in human decision-making and has a structural analogue in AI systems. Because requiring thick explanation would systematically reduce the quality of decisions, the self-advocacy interest cannot by itself ground a general right. Where thick explanation is nonetheless owed, it is justified by different grounds: legality, fairness, and trust. We draw out implications for how organisations should structure their obligations.

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Publication Details

Journal
Journal of Business Ethics
Published
2026-04-13
DOI
https://doi.org/10.1007/s10551-026-06305-9
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00

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article

The Accuracy-Explainability Trade-off, the Right to Explanation, and the Implications for Organisations

Carissa Véliz, Carlo Ludovico Cordasco
Journal of Business Ethics
Explainable Artificial Intelligence (XAI)
article

The Accuracy-Explainability Trade-off, the Right to Explanation, and the Implications for Organisations

Carissa Véliz, Carlo Ludovico Cordasco
article en

Abstract

Abstract Algorithms increasingly shape access to employment, credit, healthcare, and justice, yet the basis on which they do so is often opaque. A growing literature argues that affected individuals have a right to explanation, grounded in their interest in informed self-advocacy: the ability to understand and respond to decisions that bear on their life prospects. We examine whether this interest can sustain such a right. Explanations that serve self-advocacy must be reliable (truth-tracking) and verifiable (open to independent check). We show that in open-ended decision environments, where evaluative criteria must be discovered rather than stipulated in advance, reliability and verifiability conflict with accuracy. This trade-off arises in human decision-making and has a structural analogue in AI systems. Because requiring thick explanation would systematically reduce the quality of decisions, the self-advocacy interest cannot by itself ground a general right. Where thick explanation is nonetheless owed, it is justified by different grounds: legality, fairness, and trust. We draw out implications for how organisations should structure their obligations.

Journal of Business Ethics
University of Manchester (GB), Manchester School of Architecture (GB), Wellcome Centre for Ethics and Humanities (GB)
Leverhulme Trust
Peace, Justice and strong institutions
Openalex Percentile: Top 14%
Explainable Artificial Intelligence (XAI)
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The Accuracy-Explainability Trade-off, the Right to Explanation, and the Implications for Organisations — Carissa Véliz, Carlo Ludovico Cordasco · Journal of Business Ethics (2026) | TGRS Research Map | TGRS