The integration of Artificial Intelligence (AI) in IT governance has significantly reshaped decisionmaking, risk management, and regulatory compliance. AI-driven automation enhances efficiency, strengthens security measures, and streamlines compliance procedures. However, AI adoption raises ethical concerns, including bias, transparency, and accountability. This research paper delves into AI’s role in IT governance, examining its impact on compliance automation, digital transformation, data privacy, and IT auditing. The study highlights the regulatory frameworks guiding AI deployment, ethical considerations for responsible AI use, and challenges organizations face in implementing AI-driven governance models. It also discusses best practices for maintaining compliance with evolving data protection laws and regulatory requirements. By analyzing AI’s capabilities and limitations in governance, this paper aims to provide insights into balancing automation with ethical and legal considerations for sustainable IT governance. Reading aids, information overload, AI writing, natural language processing, and text summarizing.
Volume 17 | Issue 1
Pages: 78-81