During his senior year as an undergraduate at Yale, Drew Prinster completed a global health certificate program. His capstone project focused on the use of AI tools to predict patient diagnoses and improve health care quality. But as he conducted his research, he noticed that there were virtually no guardrails in place guiding the development of these tools. Unlike with pharmaceuticals and medical equipment, there has been very little government policy or wider consensus on standards to ensure the safety and security of AI deployments in health care.
“My optimism for AI’s potential in health care shifted toward prioritizing the question, ‘How do we ensure responsible deployments of this technology in the health care field?’” Prinster recalls.
Now a fourth-year PhD student in computer science at Johns Hopkins, Prinster is still addressing questions about the safe use of AI in health care. Those questions are central to his work as a doctoral fellow in the JHU + Amazon Initiative for Interactive AI (AI2AI). The Whiting School program, which launched in 2022, is a novel industry-academia partnership designed to advance technologies in machine learning, computer vision, natural language understanding, and speech processing.
Amazon has a longstanding relationship with the Whiting School, says Sanjeev Khudanpur, director of the AI2AI program and an associate professor of electrical and computer engineering. The company has collaborated with the school’s faculty for well more than a decade. Khudanpur himself worked on the speech recognition functionality that eventually went into the Amazon Echo.
Read the full article from Johns Hopkins Engineering Magazine