Abstract

In an era marked by digital transformation, this paper explores the intricate landscape of data governance, focusing on its intersections with artificial intelligence (AI), cybersecurity, ethics, sustainability, and globalization. An extensive literature review reveals the challenges and strategies within each domain. Our research highlights the regulatory implications of the General Data Protection Regulation (GDPR) on AI governance and emphasizes the need for balanced approaches. We also examine the transformative role of AI in data management while addressing associated risks. The study underscores the critical synergy between cybersecurity and data governance and delves into the influence of regulatory frameworks. Furthermore, we advocate for ethical data governance frameworks that foster transparency, accountability, and environmental well-being. Lastly, we propose culturally sensitive global strategies prioritizing human rights and ethical considerations. Our contributions offer insights into GDPR's impact on AI governance, AI's potential in data management, ethical integration, and adaptable global strategies, facilitating more informed, responsible, and effective data governance practices in our increasingly digital and interconnected world.