A Pathway Towards Responsible AI Generated Content

Chen Chen, Jie Fu, Lingjuan Lyu
3/2/2023
cs.AI

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Abstract

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.

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Cite this paper

@article{chen2023pathway,
  title  = {A Pathway Towards Responsible AI Generated Content},
  author = {Chen Chen and Jie Fu and Lingjuan Lyu},
  year   = {2023},
  eprint = {2303.01325},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.01325v3}
}

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