IJCAI 2023poster100 citations
A Pathway Towards Responsible AI Generated Content
Abstract
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 article, 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 sound the alarm of potential risks and misuse, help society to eliminate obstacles, and promote the more ethical and secure deployment of AIGC.
EC: Trustworthy AIEC: Trustworthy Machine Learning, Fairness In Machine Learning
BibTeX
@inproceedings{ijcai2023p803,
title = {A Pathway Towards Responsible AI Generated Content},
author = {Lyu, Lingjuan},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-23}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Edith Elkind},
pages = {7033--7038},
year = {2023},
month = {8},
note = {Early Career},
doi = {10.24963/ijcai.2023/803},
url = {https://doi.org/10.24963/ijcai.2023/803},
}