A Pathway Towards Responsible AI Generated Content
It addresses the problem of ensuring responsible usage of AIGC for developers and society, but is incremental as it reviews existing concerns without introducing new solutions.
The paper identifies eight key concerns hindering the responsible development and deployment of AI Generated Content (AIGC), such as privacy and bias, and offers insights into directions to address these risks for societal benefit.
AI Generated Content (AIGC) has received tremendous attention within the past few years, with content generated in the format of image, text, audio, video, etc. Meanwhile, AIGC has become a double-edged sword and recently received much criticism regarding its responsible usage. In this article, we focus on 8 main concerns that may hinder the healthy development and deployment of AIGC in practice, including risks from (1) privacy; (2) bias, toxicity, misinformation; (3) intellectual property (IP); (4) robustness; (5) open source and explanation; (6) technology abuse; (7) consent, credit, and compensation; (8) environment. Additionally, we provide insights into the promising directions for tackling these risks while constructing generative models, enabling AIGC to be used more responsibly to truly benefit society.