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The Structural Crisis of Digital Trust: Framing Epistemic Rights, Data Inequality, and Bi-lateral Governance in the Automated Age

Research output: Book/ReportCommissioned report

Abstract

The rapid proliferation of generative artificial intelligence (AI) has shifted the policy conversation from speculative, long-term existential threats to immediate operational and societal vulnerabilities. Underneath distinct regulatory approaches lies a shared, systemic crisis: the erosion of institutional trust driven by digital infrastructures that routinely fail to produce reliable outputs. As noted during the opening proceedings, public anxiety must be redirected toward real-world harms:"When we talk about risk of AI, public discourse usually drift towards science fiction scenarios but the real world vulnerability is already here. It is the reality of AI deployments that fail to produce reliable output." This policy white paper synthesises the high-level proceedings and strategic conclusions formulated during the panel discussion on AI and the Future of Truth at the Franco-British AI Trust and Inclusion Forum, held at the French Ambassador's Residence in London. Bringing together core expertise across moral philosophy, information law, cyber security governance, and regional public infrastructure deployment, this document translates elite academic and operational discourse into actionable policy recommendations for international governance, public services, and industry leadership. [1] To map the cross-sector expertise driving this analysis, the primary contributors to the core discourse are detailed below...
Original languageEnglish
Number of pages6
DOIs
Publication statusPublished - 1 Jun 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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