huggingface/policy-docs

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license: cc-by-sa-4.0
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# Public Policy at Hugging Face

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AI Policy at Hugging Face is a multidisciplinary and cross-organizational workstream. Instead of being part of a vertical communications or global affairs organization, our policy work is rooted in the expertise of our many researchers and developers, from [Ethics and Society Regulars](https://huggingface.co/blog/ethics-soc-1) and legal team to machine learning engineers working on healthcare, art, and evaluations.

What we work on is informed by our Hugging Face community needs and experiences on the Hub. We champion [responsible openness](https://huggingface.co/blog/ethics-soc-3), investing heavily in [ethics-forward research](https://huggingface.co/spaces/society-ethics/about), [transparency mechanisms](https://huggingface.co/blog/model-cards), [platform safeguards](https://huggingface.co/content-guidelines), and translate our lessons to policy.

So what have we shared with policymakers?

## Policy Materials
The following materials reflect what we find urgent to stress to policymakers at the time of the request for information and will be updated as materials are published.

- United States of America
- Congressional
- September 2023: [Clement Delangue (CEO) Senate AI Insight Forum Kickoff Statement](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_AI%20Insight%20Forum%20Kickoff%20Written%20Statement.pdf)
- June 2023: Clement Delangue (CEO) House Committee on Science, Space, and Technology Testimony
- [Written statement](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_HCSST_CongressionalTestimony.pdf)
- View [recorded testimony](https://science.house.gov/2023/6/artificial-intelligence-advancing-innovation-towards-the-national-interest)
- November 2023: [Dr. Margaret Mitchell (Chief Ethics Scientist) Senate Insight Forum Statement](https://www.schumer.senate.gov/imo/media/doc/Margaret%20Mitchell%20-%20Statement.pdf)
- Executive
- June 2024: Response to NIST [RFC on AI 600-1: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2024_NIST_GENAI_Response.pdf)
- March 2024: Response to NTIA [RFC on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2024_NTIA_Response.pdf)
- February 2024: Response to NIST [RFI Assignments Under Sections 4.1, 4.5 and 11 of the Executive Order Concerning Artificial Intelligence](https://huggingface.co/datasets/huggingface/policy-docs/blob/main/2024_NIST%20RFI%20on%20EO.pdf)
- December 2023: Response to OMB [RFC Agency Use of Artificial Intelligence](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_OMB%20EO%20RFC.pdf)
- November 2023: Response to U.S. Copyright Office [Notice of Inquiry on Artificial Intelligence and Copyright](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_Copyright_Response.pdf)
- June 2023: Response to NTIA [RFC on AI Accountability](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_NTIA_Response.pdf)
- September 2022: Response to NIST [AI Risk Management Framework](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2022_NIST_RMF_Response.pdf)
- June 2022: Response to NAIRR [Implementing Findings from the National Artificial Intelligence Research Resource Task Force](https://huggingface.co/blog/assets/92_us_national_ai_research_resource/Hugging_Face_NAIRR_RFI_2022.pdf)

- European Union
- January 2024: Response to [Digital Services Act, Transparency Reports](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2024_DSA_Response.pdf)
- July 2023: Comments on the [Proposed AI Act](https://huggingface.co/blog/assets/eu_ai_act_oss/supporting_OS_in_the_AIAct.pdf)

- United Kingdom
- November 2023: Irene Solaiman (Head of Global Policy) [oral evidence to UK Parliament House of Lords transcript](https://committees.parliament.uk/oralevidence/13802/default/)
- September 2023: Response to [UK Parliament: UK Parliament RFI: LLMs](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_UK%20Parliament%20RFI%20LLMs.pdf)
- June 2023: Response to [No 10: UK RFI: AI Regulatory Innovation White Paper](https://huggingface.co/datasets/huggingface/policy-docs/resolve/main/2023_UK_RFI_AI_Regulatory_Innovation_White_Paper.pdf)

The Public Policy dataset from Hugging Face includes materials and responses shared with policymakers in the United States, European Union, and United Kingdom, covering aspects such as AI risk management, transparency, platform safeguards, and ethics research.

原始信息汇总

数据集概述

数据集名称

AI Policy at HF Mirror

数据集特点

• 多学科交叉
• 跨组织合作

数据集组成

• 伦理与社会常规研究人员
• 法律团队
• 机器学习工程师（涉及医疗、艺术和评估领域）