The Johns Hopkins University Data Science and AI Institute has selected two recipients of its inaugural Data Science and AI Trusted Dataset Awards. Both are affiliated with the Malone Center for Engineering in Healthcare.
The Data Science and AI Institute recognizes that trusted datasets form the core of much of its scholarship and translation and are critical for the development of trustworthy AI systems. Part of the Data Science and AI Institute’s mission is to establish Johns Hopkins as a premier source of trusted datasets for research, scholarship, and translation. The Data Science and AI Trusted Dataset Awards are intended to further this aspect of its mission.
These inaugural funding awards support projects that address key aspects of data creation, documentation, quality assurance, and data integrity critical for developing trustworthy AI systems.
Jim Bellingham, the Johns Hopkins Data Science and AI Institute research director for safety and assurance, said, “Data is the foundation on which we build our research programs and AI systems. We were delighted with the strong response to our Trusted Dataset Program, and we are excited to launch our first teams.”
2024 Data Science and AI Trusted Dataset Award Recipients:
- “A Trusted Living Dataset and Compute Infrastructure for Ambient Intelligence in JHM Operating Rooms”
Mathias Unberath, John C. Malone Assistant Professor of Computer Science - “Datasets to Enable Trusted and Generalizable Artificial Intelligence for High-Stakes Assessment of Surgeons and Autonomous Feedback for Surgeons”
Swaroop Vedula, associate research professor in the Malone Center for Engineering in Healthcare