This session explores how data governance shapes ethical, transparent, and rights-respecting AI systems used by governments and private actors. It shares early findings from a research project examining the legal and ethical use of publicly accessible data in AI training, with insights from multiple global contexts. Through interactive discussion, the session invites audience perspectives to deepen understanding of emerging challenges and help inform future research directions and policy approaches for responsible, inclusive AI development.