The discussion will focus on several policy guiding questions from the ones listed below: Fairness, Accountability & Ethics in AI and Data Governance How can data governance frameworks promote fairness, accountability, and ethics in AI… As artificial intelligence and data-driven technologies increasingly shape critical decisions in society, robust data governance frameworks are essential to promote fairness, accountability, and ethics. This session will explore how such frameworks can reduce algorithmic bias, ensure responsible decision-making, and clearly establish accountability when AI systems cause unintended consequences. We will examine practical examples of successful governance models, such as the EU's GDPR and Canada's Algorithmic Impact Assessment framework, and discuss their potential for replication. The conversation will also focus on public engagement strategies that foster trust and transparency, addressing the need for governments and companies to empower individuals with greater control over their personal data. As only 15% of countries worldwide have comprehensive personal data protection laws (UNCTAD, 2024), this gap underscores the urgency of developing accessible, understandable mechanisms for data consent. We will further delve into the role of Open Data initiatives in providing unbiased public information and the challenges of tailoring governance processes to local and global contexts. Finally, the session will consider how multistakeholder approaches can ensure governance structures remain agile in the face of technological change, and how debates around digital sovereignty are reshaping the future of data governance worldwide.Through a dialogue and exchange of practices and experiences of different NRIs, this session will focus on ways to govern data responsibly.