AI Governance and Compliance in Regulated Industries

Abstract

Artificial Intelligence (AI) has become a transformative technology across many industries, offering promising solutions for automation, customer engagement, and decision making. However, its adoption in regulated industries introduces challenges related to data governance, compliance, and ethical concerns. This research examines governance practices and compliance mechanisms in AI deployments within regulated sectors, focusing on establishing best practices for data governance. The study aims to bridge current gaps in data handling, privacy, security, and compliance, ensuring AI systems align with legal and ethical standards. By analyzing existing literature and conducting case studies of AI infrastructure in regulated industries, this paper proposes governance and compliance practices applicable to diverse regulatory environments.