Frameworks, safeguards, and power shifts in AI-driven digital trust

This cluster tracks how institutions are racing to make AI accountable, secure, and trustworthy through new governance frameworks, audit standards, and infrastructure controls. Industry groups and regulators are updating IT audit models, operationalizing sector-specific AI governance (like FINOS), and launching alliances for digital trust and digital sovereignty. At the same time, organizations are tightening risk management for tools like Copilot, exploring human oversight for agentic AI, and confronting threats such as deepfake-driven fraud. Underneath it all is a broader debate about how AI reshapes power among governments, companies, civil society, and individuals—and what evidence-based governance looks like in practice.