
Contents
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Introduction Introduction
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Why Should Human Rights Lie at the Core of AI Ethics? Why Should Human Rights Lie at the Core of AI Ethics?
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Why a Human Rights–Centered Design, Deliberation, and Oversight of AI? Why a Human Rights–Centered Design, Deliberation, and Oversight of AI?
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What Is Human Rights–Centered Design, Deliberation, and Oversight? What Is Human Rights–Centered Design, Deliberation, and Oversight?
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Core Principles of Human Rights–Centered Design, Deliberation, and Oversight Core Principles of Human Rights–Centered Design, Deliberation, and Oversight
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Principle 1: Design and deliberation Principle 1: Design and deliberation
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Principle 2: Assessment, testing, and evaluation Principle 2: Assessment, testing, and evaluation
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Principle 3: Independent oversight, investigation, and sanction Principle 3: Independent oversight, investigation, and sanction
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Principle 4: Traceability, evidence, and proof Principle 4: Traceability, evidence, and proof
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Getting from Here to There: A Research Agenda Getting from Here to There: A Research Agenda
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Requirements Analysis Requirements Analysis
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Understanding, Collecting, and Analyzing Data Understanding, Collecting, and Analyzing Data
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Verification Verification
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Cybersecurity by Design Cybersecurity by Design
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Validation Validation
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(a) Penetration testing (a) Penetration testing
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(b) User Experience Design (b) User Experience Design
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Appropriation Appropriation
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Algorithmic Transparency and Inspection Algorithmic Transparency and Inspection
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Instrumentation and Logging Instrumentation and Logging
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Conclusion Conclusion
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Bibliography Bibliography
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26 Fairness Criteria through the Lens of Directed Acyclic Graphs: A Statistical Modeling Perspective
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4 AI Governance by Human Rights–Centered Design, Deliberation, and Oversight: An End to Ethics Washing
Get accessKaren Yeung, Interdisciplinary Professorial Fellow in Law, Ethics, and Informatics at Birmingham Law School and the School of Computer Science at the University of Birmingham
Andrew Howes, Professor of Computer Science, University of Birmingham
Ganna Pogrebna, Professor of Behavioural Economics and Data Science, University of Birmingham; Lead for Behavioural Data Science, Alan Turing Institute
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Published:09 July 2020
Cite
Abstract
This chapter argues that international human rights standards offer the most promising basis for developing a coherent and universally recognized set of standards that can be applied to meet any of the normative concerns currently falling under the rubric of AI (artificial intelligence) ethics. It then outlines the core elements of a human rights–centered design, deliberation, and oversight approach to the governance of AI. This approach requires that human rights norms are systemically considered at every stage of system design, development, and deployment, drawing upon and adapting technical methods and techniques for safe software and system design, verification, testing, and auditing in order to ensure compliance with human rights norms. The regime must be mandated by law and relies critically on external oversight by independent, competent, and properly resourced regulatory authorities with appropriate powers of investigation and enforcement. However, this approach will not ensure the protection of all ethical values adversely implicated by AI, given that human rights norms do not comprehensively cover all values of societal concern. As such, a great deal more work needs to be done to develop techniques and methodologies that are robust—reliable yet practically implementable across a wide and diverse range of organizations involved in developing, building, and operating AI systems.
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