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How would AI Agents change the Web platform?
  • Past
  • Confirmed
  • Breakout Sessions

Meeting

Event details

Date:
– UTC
Status:
Confirmed
Location:
Agave
Participants:
Shimaa Ahmed, Hadley Beeman, Sylvia Cadena, Tim Cappalli, Ari Chivukula, Heather Flanagan, Christine Gefaell, Taylore Givens, Sam Goto, Kaustubha Govind, Dominique Hazaël-Massieux, Scott Hendrickson, Ivan Herman, Henna Kapur, Brian Kardell, Zoltan Kis, Alexandra Klepper, Philippe Le Hegaret, Jason Mayes, Michael McCool, Ruoxi Ran, Vincent Scheib, Tzviya Siegman, Thomas Steiner, Kunihiko Toumura, Amy van der Hiel, Harry Wang, Tara Whalen, Kevin White, Chris Wilson, Lei Zhao, shi zhao
Big meeting:
W3C Breakouts Day 2025 (Calendar)

As a significant development since the release of AI & the Web W3C Team report, Machine Learning models, and in particular Large Language Models (LLMs), are increasing deployed to complement and sometimes radically transform how users interact with the Web.

In this session, after a quick introduction of the various ways these new AI agents are being surfaced today, we will have an open discussion on how this new paradigm may change the platform itself, and what (if anything) we should do as a community to prepare its potential impact on Web standards.

Agenda

Chairs:
Dominique Hazaël-Massieux

Description:
As a significant development since the release of AI & the Web W3C Team report, Machine Learning models, and in particular Large Language Models (LLMs), are increasing deployed to complement and sometimes radically transform how users interact with the Web.

In this session, after a quick introduction of the various ways these new AI agents are being surfaced today, we will have an open discussion on how this new paradigm may change the platform itself, and what (if anything) we should do as a community to prepare its potential impact on Web standards.

Goal(s):
Build shared understanding of impact of AI agents on the Web Platform

Agenda:

Materials:

Minutes

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