An Empirical Study on Enterprise-Wide Governance Practices for Artificial Intelligence and Machine Learning

This study examines the current state of enterprise-wide governance practices for artificial intelligence (AI) and machine learning (ML) across various industries. A survey of 60 participants reveals insights into how organizations define, manage, and govern AI/ML technologies. Key findings highlight significant progress in establishing governance frameworks while identifying critical gaps that require attention. This paper discusses these findings and provides recommendations for enhancing AI/ML governance practices to ensure ethical, transparent, and effective deployment of AI/ML technologies.