ACD Working Group on Artificial Intelligence
Background
The goal of this working group is to articulate a strategic and integrated vision for biomedical research opportunities that would benefit from developing novel AI methods that could both: (a) ensure increase in data collection from the clinical care environment, including all populations, and (b) augment the tools and capabilities for biomedical research to facilitate optimal and especially ethical use of AI for health.
Charge
The ACD AI WG is charged with articulating a strategic and integrated vision for biomedical research opportunities that would benefit from developing and application of novel AI methods. In considering this charge, the AI WG's recommendations should address the following:
- Assess progress to date and develop a framework to support strategic priorities and biomedical research opportunities in AI, particularly involving the development and application of novel methodologies (i.e. foundational models, multimodal generative AI, Edge AI, etc) for knowledge discovery and human health. This should include the necessary data and computing resources that will be required for using and scaling AI in biomedicine, allowing for interdisciplinary collaboration across fields.
- With respect to these priorities, define the potential privacy, security, ethical, policy, and cost challenges that NIH should consider in supporting and deploying AI to maximally benefit the biomedical enterprise. Consider potential approaches for mitigating these challenges, including new areas of science that could be developed.
- Recommend strategies for ensuring equitable benefits result from these strategic priorities, including equitable benefits in inclusive algorithmic development, the application of transparent and explainable AI, and collaborative training programs to enable a health learning environment using AI and AI-enabled tools.
Working Group Reports
- Coming Soon.
Related Resources
- Coming Soon.