Governance, Regulation and Policy
Collaboration Grant
Carsten Maple (Project Lead), Gregory Epiphaniou, Anita Khadka, Saif Ul Islam
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:
Collaborating with multiple international research partners including; Singapore AI Safety Institute; Nanyang Technical University; Carnegie Mellon University; CMU Africa.
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