The Impact of Generative AI on the Web
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Meeting

Event details

Date:
– Central European Summer Time
Status:
Confirmed
Location:
Ecija - 1st floor
Participants:
Matthew Atkinson, Louay Bassbouss, Matthieu Charpentier, Gautier Chomel, Wenjing Chu, Pablo COCA, Gabe Cohen, Diogo Cortiz, Vagner Diniz, Nick Doty, Tony England, Reinaldo Ferraz, Dominique Hazaël-Massieux, Shawn Lawton Henry, Ivan Herman, Yen-Lin Huang, Rew Islam, Geunhyung Kim, Andrew Kirkpatrick, Anssi Kostiainen, Mirja Kühlewind, Yaacov Lacher, Laurent Le Meur, Christian Liebel, Don Marti, Brian May, Michael McCool, Dr. Humera Noor Minhas, Tomoaki Mizushima, James Nurthen, Tabitha Odom, Hiroshi Ota, Pedro Patron, Przemek Praszczalek, François Remy, John Rochford, Jean-Yves ROSSI, Alex Rudenko, Vincent Scheib, Enrico Scoda, Elias Selman, Shunya Shishido, David Turner, David Waite, jianxin Zhang
Big meeting:
TPAC 2023 (Calendar)

In this session, we will discuss the possible impacts of generative AI on the Web. As it is an emerging topic and its consequences still need to be better understood, we will focus on technical and governance challenges in three main dimensions: data collection on the Web, Integration of LLMs in a search engine; production and publication of synthetic contents on the Web.

To facilitate the discussion, we will start from three main questions, which can be discussed in different groups depending on the number of participants:

  • What are the limits of scraping web data to train Generative AI and what technical measures should be implemented to ensure privacy, prevent copyright infringement, and effectively manage content creator consent?

  • What are the potential impacts of incorporating LLMs (Large Language Models) as chatbot interfaces into search engines? How would this change the web traffic and digital economy once the chatbot could respond directly to users instead of providing links?

  • How could Web technologies help detect AI-generated content posted on the Web, restrain the dissemination of sensitive content, and provide accountability?__

Agenda

Chairs:
Diogo Cortiz, Reinaldo Ferraz, Vagner Diniz

Description:
In this session, we will discuss the possible impacts of generative AI on the Web. As it is an emerging topic and its consequences still need to be better understood, we will focus on technical and governance challenges in three main dimensions: data collection on the Web, Integration of LLMs in a search engine; production and publication of synthetic contents on the Web.

To facilitate the discussion, we will start from three main questions, which can be discussed in different groups depending on the number of participants:

  • What are the limits of scraping web data to train Generative AI and what technical measures should be implemented to ensure privacy, prevent copyright infringement, and effectively manage content creator consent?

  • What are the potential impacts of incorporating LLMs (Large Language Models) as chatbot interfaces into search engines? How would this change the web traffic and digital economy once the chatbot could respond directly to users instead of providing links?

  • How could Web technologies help detect AI-generated content posted on the Web, restrain the dissemination of sensitive content, and provide accountability?__

Goal(s):
The session aims to introduce the theme and discuss the possible consequences of Generative AI for the Web. We also want to stimulate a debate with people from different backgrounds on how Web technologies should respond to those changes. We also plan to elaborate and consolidate the result of the session to guide further discussion on the topic.

Materials:

Track(s):

  • AI

Minutes

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