Alexandr Wang is the founder and CEO of Scale AI. He founded Scale while at MIT at the age of 19, after recognizing that he could accelerate companies’ abilities to deploy AI by combining a machine learning-powered data labeling system with human insight to ensure that models are trained on high-quality, trusted datasets. In this conversation with Stanford adjunct lecturer Emily Ma, Wang discusses the essential role of high-quality data in building powerful, useful, and unbiased AI and machine learning systems.