Information

Web and Generative AI risks
  • Past
  • Confirmed
  • Breakout Sessions

Meeting

Event details

Date:
– Pacific Daylight Time
Status:
Confirmed
Location:
2 Ballroom Level - California A
Participants:
Denis Ah-Kang, Ines Akrap, Qing An, Kenji Baheux, Aykut Bulut, Tantek Çelik, Yug Desai, Balazs Engedy, Tamsin Ewing, Javier Fernandez, Mark Foltz, Yi Gu, Dominique Hazaël-Massieux, Ivan Herman, Mary Ann (MJ) Jawili, Xueyuan Jia, Iris Johnson, Gregg Kellogg, Zoltan Kis, Rob Kochman, Toshiaki Koike, Mirja Kühlewind, Vincent Kuntz, Elena Lape, Vladimir Levin, Niklas Lindström, Sandor Major, Keith (Dr. Keith) Newton, Gerald Oskoboiny, Chris Pryor, Kagami Rosylight, Elias Selman, Aaron Shim, Austin Sullivan, Chris Wilson, Valerie Young, Lei Zhao, Emma Zuehlcke
Big meeting:
TPAC 2024 (Calendar)

Generative Artificial Intelligence (AI) is a type of AI based on techniques and generative models that aim to generate new content, and its performance in knowledge learning, inductive summarization, content creation, perception and cognition is distinctly different from previous AI technologies. Now, Web is fraught with AI-generated information.
There are several new features of generative AI, such as new contents generation, long context windows, etc,. At the same time, generative AI brings new risks, such as hallucination, privacy leakage, copyrights infringement.
This session will introduce the new features and new risks brought by generative AI compared with traditional AI. And the session will have an open discussion about the risks related to Web and W3C can do on Web standards to address the risks.

Agenda

Chairs:
Qing An

Description:
Generative Artificial Intelligence (AI) is a type of AI based on techniques and generative models that aim to generate new content, and its performance in knowledge learning, inductive summarization, content creation, perception and cognition is distinctly different from previous AI technologies. Now, Web is fraught with AI-generated information.
There are several new features of generative AI, such as new contents generation, long context windows, etc,. At the same time, generative AI brings new risks, such as hallucination, privacy leakage, copyrights infringement.
This session will introduce the new features and new risks brought by generative AI compared with traditional AI. And the session will have an open discussion about the risks related to Web and W3C can do on Web standards to address the risks.

Goal(s):
Discuss the risks of Generative AI and what W3C can do to address the risks.

Agenda:

  1. Introduction of generative AI and its potential risks
  2. Open discussion

Materials:

Track(s):

  • AI

Minutes

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