A Pathway Towards Responsible AI Generated Content

TL;DR

This paper discusses the ethical and societal challenges of AI Generated Content (AIGC), identifying key risks and proposing directions for responsible development to ensure societal benefits.

Contribution

It systematically analyzes eight major concerns of AIGC and offers insights into strategies for responsible AI content generation.

Findings

Identifies eight critical risks hindering AIGC development.

Provides insights into strategies for responsible AI content creation.

Highlights the importance of addressing societal and ethical issues.

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.