Responsible AI Governance in Enterprise Agile Delivery

Abstract

The paper describes the importance of the responsible AI regulation in the enterprise Agile delivery models. It aims at integrating ethical activities, openness, and responsibility into the life cycles of AI projects. Based on a quantitative analysis, the research assesses the benefits of ethical checkpoints, explainability systems, and human-in-the-loop systems in improving trust and performance in AI-driven delivery. These findings indicate that organized government enhances reliability of the model, cut bias and encouraged compliance with rules. The report concludes that there is more to being compliance-oriented when introducing ethical governance in Agile processes, in fact there is much more to ensure the continuity and sustainable enterprise success in telecommunication, 5G, and ecosystems based on automation.