Generative deep learning can produce artificial, natural-looking images and other data, which has many promising applications in research — and in art. But the wide availability of generative models poses a challenge for society, which needs tools and best practices to distinguish between real and synthetic data.

中文翻译：

---

进入潜伏空间

生成式深度学习可以产生人造的，看起来自然的图像和其他数据，这在研究和艺术中具有许多有希望的应用。但是生成模型的广泛可用性对社会构成了挑战，社会需要工具和最佳实践来区分真实数据和合成数据。