AI BriefingHugging Face Introduces Ethical ML Tags
Key point
Hugging Face is introducing new ethics tags and safeguards to support the ethical use of AI models.
Details
Based on its 'Open and Good ML' mission, Hugging Face announced a strategy to balance the benefits of open source development with controlling its risks.
To help users easily identify ethical technology, it is introducing 6 ethical category tags:
- Rigorous: Adheres to best practices such as bias audits and privacy protection
- Consentful: Supports the self-determination of people affected by the technology
- Socially Conscious: Supports social, environmental, and scientific efforts
- Sustainable: Explores ecologically sustainable ML technologies
- Inclusive: Expands the scope of who builds and benefits from ML
- Inquisitive: Prompts reconsideration of inequalities and power structures
Hugging Face is also building community-based safeguards centered on a model's origin, how developers handle it, and its use cases. This includes a flagging feature that allows the community to report inappropriate content.
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