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Trustworthy AI for All

badge_icon Governance, Regulation and Policy

Funding Stream:

Collaboration Grant Logo Collaboration Grant

Award Details

Project Team:

Carsten Maple (Project Lead), Gregory Epiphaniou, Anita Khadka, Saif Ul Islam

Lead HEI:
University of Warwick
Project dates:
5 January 2026 - 31 March 2026
Geographical focus:
  • UK
  • Singapore
  • United States
Partner HEIs:
partner_logo

Summary

Trustworthy AI for All is a targeted three-month collaboration to design and validate a practical framework for national-level decision-making across the entire AI value chain that ranges from raw materials and semiconductor fabrication to infrastructure, models, applications, and governance. The project will analyse how countries with varying technological and institutional capacities can determine where to assert control to optimise cost, resilience, and responsible deployment. Drawing on expert inputs, a dedicated international workshop, and structured policy engagement, the initiative will deliver a final report, a policy briefing, and a set of actionable tools to inform government and public-sector AI strategies.​

Outputs​ will include:

  • An output report defining the AI Stack and Control Framework​
  • A hybrid policy engagement session involving policymakers and practitioners​
  • A policy note aimed at government and public institutions

Collaborating with multiple international research partners including; Singapore AI Safety Institute; Nanyang Technical University; Carnegie Mellon University; CMU Africa.

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