Surgical artificial intelligence (AI) is a nascent field with potential to improve patient safety and clinical outcomes. Current surgical AI models can identify surgical phases, critical events, and surgical anatomy1,2,3. Most of these models utilize supervised machine learning and require large amounts of annotated video data, typically by domain experts. Crowdsourcing, using layperson annotations to form consensus annotations, can scale and accelerate acquisition of high-quality training data4...