Technical paper reveals an authority model for enhancing trust in machine-mediated systems, highlighting implications for governance.
This presentation summarizes Lex Wire Precedent Paper B: Authority Model, published by Lex Wire Journal. The paper introduces an Authority Model describing how machine-mediated systems detect, weight, strengthen, and weaken authority signals when resolving conflicting information. It explains authority as a functional, synthesized process inside AI systems rather than a fixed or inherited property. Key topics include: machine-mediated authority authority weighting and synthesis trust signal detection authority strengthening and weakening hallucination as a trust failure implications for AI trust and governance. Full paper available at: https://lexwire.org/papers/lexwire-precedent-paper-b-v1 Citation: Howell, J. (2026b). Lex Wire Precedent Paper B: Authority Model. Lex Wire Journal. See Authority After Search at: https://lexwire.org/papers/lexwire-precedent-paper-a-v1
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Jeff Howell (2026) studied this question.
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