"One of the most pressing issues in the conversation regarding artificial intelligence (AI) and machine learning in health care is how to address bias in designing AI algorithms," write ACC Chief Innovation Officer, Ami B. Bhatt, MD, FACC, and Executive Director of Global Innovation, Jennifer Bae. "As the AI landscape evolves, many stakeholders, including clinicians, tech companies, investors, health care organizations and payers, are increasingly developing mitigation approaches. Sharing and evaluating these practices in an iterative mechanism will be essential to addressing algorithmic bias." Read the full story in Cardiology.