The regular professional use of artificial intelligence (AI) has grown increasingly common in the past few years, and AI tools in the healthcare sector are no exception. The clinical use of AI has incredible potential, but it also requires a strong cognizance of the unique needs of patients and healthcare providers. To that end, the U.S. Department of Health and Human Services (HHS), together with the Assistant Secretary for Technology Policy and Office of the National Coordinator for Health Information Technology (ASTP/ONC), recently put out a request for information (RFI) on the advancement of AI use in clinical care. It asked what HHS can do to foster public trust and […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Posts Tagged ‘Response to RFI’
Navigating and Increasing the Use of AI in Clinical Care
March 10th, 2026 / in AI, CCC, CRA-I, health, Healthcare, Industry, policy, Requests for Information / by Marla MackoulCharting the Future: How AI Can Transform Biomedical Discovery and Public Health
July 22nd, 2025 / in AI, CCC / by Catherine GillThe National Institutes of Health (NIH) is embarking on a crucial journey: developing a comprehensive artificial intelligence (AI) strategy to revolutionize biomedical discovery and public health. The agency released a recent Request for Information to help inform this effort, and the Computing Community Consortium (CCC) and Computing Research Association (CRA) took this opportunity to share some recommendations, drawing from the expertise of the computing community. At its core, our guidance centers on the principle of safe, secure, and effective AI. This isn’t just about deploying cutting-edge technology; it’s about ensuring AI tools are inherently reliable, trustworthy, and ultimately beneficial for patients and researchers. Ethical considerations such as fairness and transparency […]







