AI Generated Content (AIGC) has received tremendous attention within the past few years, with content ranging from image, text, to audio, video, etc. Meanwhile, AIGC has become a double-edged sword and recently received much criticism regarding its responsible usage. In this vision paper, we focus on three main concerns that may hinder the healthy development and deployment of AIGC in practice, including risks from privacy, bias, toxicity, misinformation, and intellectual property (IP). By documenting known and potential risks, as well as any possible misuse scenarios of AIGC, the aim is to draw attention to potential risks and misuse, help society to eliminate obstacles, and promote the more ethical and secure deployment of AIGC. Additionally, we provide insights into the promising directions for tackling these risks while constructing generative models, enabling AIGC to be used responsibly to benefit society.

翻译：人工智能生成内容（AIGC）在过去几年中受到了广泛关注，其生成内容涵盖图像、文本、音频、视频等。与此同时，AIGC已成为一把双刃剑，近期因其负责任使用问题而备受批评。在这篇愿景论文中，我们聚焦于可能阻碍AIGC在实践中健康发展和部署的三类主要问题，包括隐私、偏见、毒性、错误信息及知识产权（IP）风险。通过记录已知与潜在风险，以及AIGC可能被滥用的各种场景，本文旨在引起对潜在风险与滥用的关注，帮助社会消除障碍，推动AIGC更道德、更安全地部署。此外，我们还为在构建生成模型时应对这些风险提供了有前景的方向性见解，使AIGC能够被负责任地使用并造福社会。