AT2k Design BBS Message Area
Casually read the BBS message area using an easy to use interface. Messages are categorized exactly like they are on the BBS. You may post new messages or reply to existing messages!

You are not logged in. Login here for full access privileges.

Previous Message | Next Message | Back to Slashdot  <--  <--- Return to Home Page
   Local Database  Slashdot   [124 / 435] RSS
 From   To   Subject   Date/Time 
Message   VRSS    All   AI is More Persuasive Than People in Online Debates   May 19, 2025
 3:20 PM  

Feed: Slashdot
Feed Link: https://slashdot.org/
---

Title: AI is More Persuasive Than People in Online Debates

Link: https://slashdot.org/story/25/05/19/1910215/a...

Chatbots are more persuasive in online debates than people -- especially when
they are able to personalize their arguments using information about their
opponent. From a report: The finding, published in Nature Human Behaviour on
19 May, highlights how large language models (LLMs) could be used to
influence people's opinions, for example in political campaigns or targeted
advertising. "Obviously as soon as people see that you can persuade people
more with LLMs, they're going to start using them," says study co-author
Francesco Salvi, a computational scientist at the Swiss Federal Technology
Institute of Lausanne (EPFL). "I find it both fascinating and terrifying."
Research has already shown that artificial intelligence (AI) chatbots can
make people change their minds, even about conspiracy theories, but it hasn't
been clear how persuasive they are in comparison to humans. GPT-4 was 64.4%
more persuasive than humans in one-to-one debates, the study found.

Read more of this story at Slashdot.

---
VRSS v2.1.180528
  Show ANSI Codes | Hide BBCodes | Show Color Codes | Hide Encoding | Hide HTML Tags | Show Routing
Previous Message | Next Message | Back to Slashdot  <--  <--- Return to Home Page

VADV-PHP
Execution Time: 0.0161 seconds

If you experience any problems with this website or need help, contact the webmaster.
VADV-PHP Copyright © 2002-2025 Steve Winn, Aspect Technologies. All Rights Reserved.
Virtual Advanced Copyright © 1995-1997 Roland De Graaf.
v2.1.250224