In late June 2022, Hugging Face submitted a response to the White House Office of Science and Technology Policy and National Science Foundation's Request for Information on implementing the National Artificial Intelligence Research Resource (NAIRR) Task Force's interim report. As a platform dedicated to democratizing machine learning, Hugging Face strongly supports NAIRR's goals and offered several key recommendations:
- Appoint Technical and Ethical Experts as Advisors: Prioritize technical experts with a track record of ethical innovation to guide NAIRR on feasibility and avoiding harmful biases.
- Resource Documentation Standards: Establish standards for model and dataset documentation, such as Model Cards, to ensure accessibility across audiences.
- Make ML Accessible to Interdisciplinary, Non-Technical Experts: Provide education resources, easy-to-use interfaces, and low-code tools like AutoTrain for training AI models.
- Monitor Open-Source and Open-Science for Misuse: Define harm and use Responsible AI Licenses to prevent malicious use, including biases, disinformation, and hate speech.
- Empower Diverse Researcher Perspectives: Offer tools and resources in multiple languages, following examples like the BigScience Research Workshop involving over 1,000 researchers from 60+ countries.
Hugging Face's full memo details each recommendation. The company is eager for more resources to make AI broadly and responsibly accessible.