Trustworthy AI and Data Systems

Evaluate the governance challenges that arise when artificial intelligence, data platforms, and public digital services become embedded in everyday life. Consider issues such as algorithmic risk scoring, model sovereignty, data-center resilience, institutional accountability, and service continuity when infrastructure fails. Then propose principles for regulating AI and digital public systems so they remain fair, secure, auditable, and dependable at scale.