The Authority, Provenance and Semantic Governance Research Series — White Paper No. 1: The Admissibility Problem in AI Mediated Information Systems (Search Sciences™ Programme)

This record contains White Paper No. 1 of the Authority, Provenance and Semantic Governance Research Series produced by Younis Group under the Search Sciences™ programme.

The paper introduces the admissibility problem in AI mediated information systems, examining the absence of structural constraints governing authority and provenance prior to computational interpretation. It analyses how contemporary digital ecosystems rely on inferred signals of credibility, optimisation and behavioural metrics rather than formally declared and verifiable authority, and considers the implications for search systems, generative artificial intelligence and decision environments.

Situating these challenges within the broader transformation of digital information infrastructures, the paper argues that restoring structural legitimacy requires the introduction of pre interpretive mechanisms capable of establishing provenance, identity and auditability before computational processing occurs. The analysis distinguishes legitimacy of representation from epistemic questions of truth, emphasising the importance of admissibility as a foundational condition for trustworthy information systems.

As the inaugural contribution to the research series, this work establishes the conceptual foundations for subsequent examination of verification architectures, semantic governance and institutional oversight in AI compatible knowledge environments. The paper forms part of a cumulative research programme exploring the structural conditions necessary for maintaining authority integrity within digitally mediated ecosystems.

The research is conducted by Younis Group within the Search Sciences™ research programme founded under the intellectual leadership of Mohammed Younis, Chief Scientist at Younis Group

This publication contributes to ongoing scholarly discussion on authority, provenance and governance in artificial intelligence and digital information infrastructures, and establishes a public record of the research trajectory.