LISH works to better understand the variability of doctors’ diagnoses in healthcare, the drivers behind such variability, the impact it has on developing and benchmarking AI systems for healthcare, as well as the methodologies for attaining high quality datasets for training AI algorithms to achieve superhuman performance. In addition, we apply such techniques in combination with crowdsourcing to develop AI solutions to medical imaging problems. We also seek to better understand how human-AI interactions impact decision making in healthcare.