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A Pathway Towards Responsible AI Generated Content

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arxiv 2303.01325 v3 pith:UQBWA6EX submitted 2023-03-02 cs.AI

classification cs.AI
keywords aigccontentgeneratedreceivedresponsiblerisksabuseadditionally
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. "I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products

    cs.HC 2025-06 conditional novelty 6.0 of 10

    GAI tools' content moderation policies are comprehensive in scope but thin on user reporting and appeals, and Reddit users report frequent frustration with opaque moderation decisions.

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