Government Oversight of Data and Responsible AI: Bringing Together Business Strategy, Technology, and the Law

Abstract

Technologists, law scholars, and business strategists all care about data governance and responsible AI practice because artificial intelligence (AI) is quickly becoming a part of everyday business tasks. This article combines ideas from research on information systems, comparative regulatory analysis, and management studies to look at how businesses can use responsible AI in a world where rules are becoming more scattered. We look at how data governance has changed over time from keeping records for compliance reasons to a strategic, lifecycle-based field. We also look at the main ethical frameworks that have shaped the conversation about responsible AI and the legal architecture that is emerging around tools like the General Data Protection Regulation (GDPR) and the European Union Artificial Intelligence Act. We then look at how these technical and legal needs affect organizational strategy by using examples from the public sector, healthcare, and the financial sector. At the end of the piece, it suggests an integrated framework that sees data governance, algorithmic accountability, and business value creation as goals that support each other instead of being in competition with each other. It also lists research and policy questions that need to be answered in the next ten years.