Responsible Data Practices and Generative AI: Organizational, Legal, and Technical Perspectives

Generative AI presents transformative potential across industries while introducing significant challenges in responsible data governance. This chapter explores the organizational, legal, and technical dimensions of implementing responsible data practices in the era of generative AI. Key considerations include ethical principles like fairness, privacy, and accountability; compliance with evolving regulations such as the EU’s General Data Protection Regulation and the EU AI Act; and the technical strategies necessary for addressing challenges like bias, transparency, and security. Methods for improving explainability, privacy preservation, and robustness are discussed, alongside governance frameworks such as ethical audits and data lineage tracking. The chapter analyzes legal precedents to highlight the tensions between innovation and regulation and emphasizes the need for ethical AI governance by design.