National AI Research Resource: Vision and Goals Overview

Vision for the National AI Research Resource

Overview

• The image outlines a vision for creating a national research infrastructure aimed at advancing the U.S. Artificial Intelligence (AI) research and development (R&D) landscape.
• It emphasizes accessibility and empowerment of a diverse range of users in AI.

Key Components

1. Computing

   • Thoughts: Adequate computational resources are essential for running complex AI models and simulations.
   • Additional Information: Investments in high-performance computing infrastructure are critical for research and innovation in AI.

2. High-quality datasets

   • Thoughts: Access to reliable and diverse datasets can lead to more robust AI models and insights.
   • Additional Information: Initiatives should focus on curating and maintaining datasets that are representative and free from bias to ensure fairness in AI applications.

3. Software, testbeds, models

   • Thoughts: Providing access to software tools and test environments enables experimentation and validation of AI models.
   • Additional Information: Collaboration between institutions could facilitate the development of shared resources and frameworks for conducting AI research.

4. Training and user support

   • Thoughts: Training programs and support resources are crucial for onboarding new users and enhancing their skills in AI.
   • Additional Information: Support structures should include educational resources, workshops, and mentorship opportunities to foster a collaborative community.

Goals

• Spur innovation

  • Promoting groundbreaking developments in AI through collaborative and accessible research environments.

• Increase the diversity of talent in AI

  • Encouraging participation from underrepresented groups to foster a broader range of perspectives in AI research.

• Improve U.S. capacity for AI R&D

  • Strengthening the national infrastructure and resources dedicated to advancing AI research capabilities.

• Advance trustworthy AI

  • Focusing on ethical AI practices that enhance the transparency and accountability of AI systems.

Reference: