As AI technology advances and is broadly adopted, there are numerous opportunities to influence the
direction, robustness, and speed of AI development, including:

• Basic research in AI and research into standards and guardrails.
• Incentives, standards, and regulations to encourage sharing and transparency regarding the data
  used to train advanced AI models.
• Research into high-priority AI applications such as education and training, health care, climate
  change, and national security.
• Initiatives such as the National AI Research Resource and the Microelectronics Commons to provide
  hubs for computational resources and foster the talent needed to keep U.S. universities at the
  forefront of AI development.