Authority After Search: How AI Systems Reconstruct Trust, Expertise, and Legitimacy

This presentation summarizes Lex Wire Precedent Paper A: Foundation of Authority Artifacts, published by Lex Wire Journal. The paper introduces the concept of Authority Artifacts and proposes a machine-readable technical standard for expressing institutional authority in AI-mediated systems. It examines how authority is currently inferred by artificial intelligence and identifies the absence of formal structures for declaring trust, scope, and verification in a form machines can interpret. Key topics include: machine-readable authority standards authority artifacts and trust signals schema and context for AI interpretation verification and cryptographic integrity implications for AI trust and governance This slide deck serves as a visual abstract of the full research paper. Full paper available at: https://lexwire.org/papers/lexwire-precedent-paper-a-v1 Citation: Howell, J. (2026a). Lex Wire Precedent Paper A: Foundation of Authority Artifacts. Lex Wire Journal.See supporting technical precedent at: https://lexwire.org/papers/lexwire-precedent-paper-b-v1

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-26
DOI
https://doi.org/10.5281/zenodo.18407874
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Authority After Search: How AI Systems Reconstruct Trust, Expertise, and Legitimacy

Jeff Howell
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Authority After Search: How AI Systems Reconstruct Trust, Expertise, and Legitimacy

Jeff Howell
article en

Abstract

This presentation summarizes Lex Wire Precedent Paper A: Foundation of Authority Artifacts, published by Lex Wire Journal. The paper introduces the concept of Authority Artifacts and proposes a machine-readable technical standard for expressing institutional authority in AI-mediated systems. It examines how authority is currently inferred by artificial intelligence and identifies the absence of formal structures for declaring trust, scope, and verification in a form machines can interpret. Key topics include: machine-readable authority standards authority artifacts and trust signals schema and context for AI interpretation verification and cryptographic integrity implications for AI trust and governance This slide deck serves as a visual abstract of the full research paper. Full paper available at: https://lexwire.org/papers/lexwire-precedent-paper-a-v1 Citation: Howell, J. (2026a). Lex Wire Precedent Paper A: Foundation of Authority Artifacts. Lex Wire Journal.See supporting technical precedent at: https://lexwire.org/papers/lexwire-precedent-paper-b-v1

Zenodo (CERN European Organization for Nuclear Research)
Lexmark (United States) (US), Lexicon Pharmaceuticals (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 74%
Ethics and Social Impacts of AI
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