Artificial Intelligence (AI) and large language models (LLMs) have the potential to be a revolutionary technology, producing seismic shifts to people’s work and health. Already these tools are being used in the biomedical sciences for speeding diagnosis, identifying new therapies, and writing scientific publications and grants.
This learning community will explore how funders can best navigate this rapidly changing landscape by sharing tools, use cases, and resources. This includes how AI and LLMs are being utilized in science and philanthropy, how they can be leveraged by HRA members, and what members need to be aware of with respect to this exciting technology.Below are some resources you may find helpful for navigating this brave new world:
- AI and LLMs Learning Community Topic Ideas and Resources Google Doc for sharing issues, challenges, and resources related to AI and LLMs. This document is available to HRA members only.
- Here are some recent articles about Artificial Intelligence and Large Language Models that may be of interest to the HRA community
- NIH’s just released policy prohibiting AI use in peer review (citing breach of confidentiality). This “Open Mike” blog links to the Notice. The end mentions no plans to make a policy regarding using AI in preparing an application.
- The Research on Research Institute released a new working paper on using ML/AI for research funders. It can be accessed here: https://researchonresearch.org/tpost/e3ds4mx121-new-working-paper-out
- The Center for Biomedical Research Transparency hosted its first in-person Biomedical Transparency Summit since 2020 this July in Washington, D.C. Additional details: https://cbmrt.org/bmts2023.html
- Leveraging AI to automate clinical intelligence in biotech
The AI and LLM Community is being chaired by:
- Jennifer Hall, American Heart Association
- Saleha Hossain, Crohn’s & Colitis Foundation
- Al Towers, Alzheimer’s Association