Our Work

As artificial intelligence (AI) applications become more pervasive, it is critical to understand how knowledge workers with different levels and types of experience can team with AI for productivity gains. We focus on the influence of two major types of human work experience (narrow experience based on the specific task volume and broad experience based on seniority) on the human-AI team dynamics.

A public conversation around generative artificial intelligence (AI) in medicine is both long overdue and increasingly urgent. In health care applications, the stakes are heightened because of the intricate privacy considerations and the critical nature of decision-making. The potential positive impact is also enormous.

Artificial intelligence and machine learning (AI/ML) applications in healthcare could have algorithmic biases that perpetuate health disparities.