Medical data used to train AI is often “anonymized” to protect private health information, a practice crucial for HIPAA compliance. To address the limitations of traditional anonymization methods that may compromise accuracy and realism, Johns Hopkins researchers have developed DREAM, an AI system capable of generating synthetic patient portal messages that can be used to […]
Mark Dredze, a John C. Malone Professor of Computer Science, the interim deputy director of the Data Science and AI Institute, and the associate head of research and strategic initiatives for the Department of Computer Science, received an Optum Research Award in the area of foundational methods development. This award will support his project on “using large language models, or […]
Hopkins’ experts highlight the potential and ethical challenges of AI in national security and medicine. CLSP’s Rama Chellappa and Mark Dredze played key roles in briefing congressional staffers on the transformative potential and ethical considerations of AI. Their insights underscored the importance of informed regulation as AI continues to advance in critical sectors. Read the full […]
