We gratefully acknowledge support from
the Simons Foundation and member institutions.
Full-text links:

Download:

Current browse context:

cs.AI

Change to browse by:

cs

References & Citations

DBLP - CS Bibliography

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo

Computer Science > Artificial Intelligence

Title: 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 vision paper, 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 draw attention to potential risks and misuse, help society to eliminate obstacles, and promote the more ethical and secure deployment of AIGC. Additionally, we provide insights into the promising directions for tackling these risks while constructing generative models, enabling AIGC to be used responsibly to benefit society.
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2303.01325 [cs.AI]
  (or arXiv:2303.01325v1 [cs.AI] for this version)

Submission history

From: Chen Chen [view email]
[v1] Thu, 2 Mar 2023 14:58:40 GMT (5659kb,D)
[v2] Fri, 17 Mar 2023 23:32:57 GMT (5659kb,D)
[v3] Wed, 27 Dec 2023 08:21:12 GMT (7111kb,D)

Link back to: arXiv, form interface, contact.