Cited by 132Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)Digitalization, Law, and Regulation

The DOI matches its Crossref record; 45 of the 53 references it cites were found in a registry or an index; none of the 36 sources its claims cite is checked for support yet.

The fallacy of inscrutability

Open access
Kroll, Joshua A.·2018·Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Abstract

Contrary to the criticism that mysterious, unaccountable black-box software systems threaten to make the logic of critical decisions inscrutable, we argue that algorithms are fundamentally understandable pieces of technology. Software systems are designed to interact with the world in a controlled way and built or operated for a specific purpose, subject to choices and assumptions. Traditional power structures can and do turn systems into opaque black boxes, but technologies can always be understood at a higher level, intensionally in terms of their designs and operational goals and extensionally in terms of their inputs, outputs and outcomes. The mechanisms of a system's operation can always be examined and explained, but a focus on machinery obscures the key issue of power dynamics. While structural inscrutability frustrates users and oversight entities, system creators and operators always determine that the technologies they deploy are fit for certain uses, making no system wholly inscrutable. We investigate the contours of inscrutability and opacity, the way they arise from power dynamics surrounding software systems, and the value of proposed remedies from disparate disciplines, especially computer ethics and privacy by design. We conclude that policy should not accede to the idea that some systems are of necessity inscrutable. Effective governance of algorithms comes from demanding rigorous science and engineering in system design, operation and evaluation to make systems verifiably trustworthy. Rather than seeking explanations for each behaviour of a computer system, policies should formalize and make known the assumptions, choices, and adequacy determinations associated with a system. This article is part of the theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.

Overview

Integrity signals

Registry

Crossref · 10.1098/rsta.2018.0084

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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Claims the paper makes

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  • Probably not a substantial claim. 60
  • It may state two separate claims as one. 30
74 of 74
  • The paper relies on this without support.

    Human agents who design, build, and field computer systems are accountable for the behaviours of those systems.

    “built to a purpose by some human agency that must be accountable for the behaviours of those artefacts.”
    “Responsibility and ethics attach not to the specifics of a technical tool, but rather to the ways that tool is used in a sociotechnical context, which are always considered when tools are created.”
  • The paper relies on this without support.

    Interventions to protect users or subjects of computer systems should engage power relationships between controllers and affected parties.

    “Interventions that aim to protect the subjects or users of a computer system must therefore engage these power relationships.”
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Citations

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8 of the 53 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Selbst AD Barocas S. The intuitive appeal of explainable machines. Preprint available at SSRN. (https://ssrn.com/abstract=3126971)
  2. Jones C, 2010, Software engineering best practices: lessons from successful projects in top companies
  3. Argyris C, 1977, Double loop learning in organizations, Harv. Bus. Rev., 55, 115
  4. Myers GJ, 1979, The art of software testing

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Items 101–131 of 131

Metadata

Authors
Kroll, J. A.
Affiliations
University of California, Berkeley (US)
Corresponding author
Kroll, Joshua A.
Venue
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Published
2018-10-15
Volume
376
Issue
2133
Pages
20180084
ISSN
  • 1364-503X (ISSN-L)
  • 1471-2962
OpenAlex
W2897439270
Cited by
132
References
53
Citations by year
2026: 9 · 2025: 13 · 2024: 15 · 2023: 22 · 2022: 27 · 2021: 19 · 2020: 17 · 2019: 8 · 2018: 2
FWCI
22.85
Type
journal article
Language
en
Open access
Locations
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
Berkeley Center for Law and Technology
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
  • Social Sciences › Law › Digitalization, Law, and Regulation
Keywords
algorithmic opacity, algorithmic governance, algorithmic accountability, computer ethics, privacy by design, algorithmic transparency, algorithmic decision-making

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