Hugging Face 發表開發 Diffusers 函式庫的倫理指南
Original: Ethical Guidelines for developing the Diffusers library
With the explosion of generative AI models like Stable Diffusion, Hugging Face's Diffusers library has become the go-to tool for developers…
Hugging Face 針對旗下熱門的 Diffusers 函式庫發布倫理指南，探討開源生成式圖像模型帶來的社會影響。指南重點涵蓋偏見緩解、安全過濾器（如 NSFW 偵測）、隱形浮水印技術，以及推動負責任的授權條款（如 OpenRAIL）。此舉旨在為開源社群提供一個在促進技術創新與防範惡意濫用之間取得平衡的實踐框架。
With the explosion of generative AI models like Stable Diffusion, Hugging Face's Diffusers library has become the go-to tool for developers deploying and fine-tuning these image generation models. However, generative AI also brings serious ethical challenges, including the spread of misinformation, reinforcement of biases, copyright disputes, and the propagation of harmful content. In response, the Hugging Face team authored this ethics guide, articulating the ethical considerations and concrete technical practices they employ while maintaining the open-source ecosystem.
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