As artificial intelligence (AI) and machine learning (ML) continue expanding into health care, its full potential remains unknown. Health care organizations are beginning to use AI and ML to improve clinical decision-making, enhance patient engagement and make health care providers more efficient and productive. The development of an AI system, however, is only as good as the data used to create it. This executive dialogue will discuss the intersection of AI and patient safety, exploring ways big data can be harnessed to prevent patient harm. It not only will examine key metrics that organizations can use to identify the potential for harm, but it also will explore ways to achieve clinician support and buy-in.