A new report from the President's Council of Advisors on Science and Technology (PCAST), scheduled to be released next week, highlights some powerful use cases for artificial intelligence (AI) tools in scientific research.
PCAST – unanimously I voted He was tasked with investigating synergies between AI and science under the administration's AI executive order issued last October.
Supercharging Research: Tackle Global Challenges with Artificial Intelligence explores how AI is already transforming science and will continue to do so. It also provides recommendations on how the federal government can support AI-assisted research and development.
UCLA professor Terrence Tao, co-chair of the PCAST Working Group on AI, said the report finds that AI is beginning to remove many of the barriers that slow the speed and cost of scientific research. Stated.
Tao said the report to be released next week will include several examples of how AI will transform science, but Tuesday's presentation highlighted three of them. . Accelerate and enhance scientific simulations and models. Analyze new types of data.
Leveraging AI to identify therapeutic drug solutions is one prominent example. Tao said that while AI is already being used to design vaccines, it could also be used to treat cancer in the future.
This report highlights how AI can be used to further accelerate climate science modeling. Currently, AI is being used for weather forecasting, but in the future, Whole Earth AI models will be useful for things like catastrophe modeling.
In his presentation, Tao also highlighted how AI can be used for new types of data in health and wellness. AI is currently being used to help doctors make early diagnoses, but in the future, this technology could be used to provide hyper-personalized medicine and healthcare.
The PCAST report highlights a vision for AI-assisted research and development. Responsible use of AI tools. And sharing AI resources. ”
This report provides five recommendations to advance these three goals.
- We support both basic and applied research in AI with collaboration across academia, industry, national laboratories, and federal agencies.
- Encourage innovative approaches to integrating AI assistance into scientific workflows.
- Adopt principles for responsible, transparent, and trustworthy use of AI throughout all stages of the scientific research process.
- Expand existing efforts to broadly and equitably share basic AI resources.and
- Expand secure access to federal datasets that address critical authorized research needs with appropriate protections and safeguards.
Many PCAST members particularly highlighted the efforts of the National Science Foundation. National AI Research Resource (NAIRR) PilotIt was released earlier this year as a great example of how the federal government can achieve three broad goals for the use of AI in science outlined in a new report.
PCAST report calls for full funding of NAIRR – as well as many federal leaders and members of Congress. I have it recently.
