SUBSCRIBE
SUBSCRIBE
EXPLORE +
  • About infoDOCKET
  • Academic Libraries on LJ
  • Research on LJ
  • News on LJ
  • Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Libraries
    • Academic Libraries
    • Government Libraries
    • National Libraries
    • Public Libraries
  • Companies (Publishers/Vendors)
    • EBSCO
    • Elsevier
    • Ex Libris
    • Frontiers
    • Gale
    • PLOS
    • Scholastic
  • New Resources
    • Dashboards
    • Data Files
    • Digital Collections
    • Digital Preservation
    • Interactive Tools
    • Maps
    • Other
    • Podcasts
    • Productivity
  • New Research
    • Conference Presentations
    • Journal Articles
    • Lecture
    • New Issue
    • Reports
  • Topics
    • Archives & Special Collections
    • Associations & Organizations
    • Awards
    • Funding
    • Interviews
    • Jobs
    • Management & Leadership
    • News
    • Patrons & Users
    • Preservation
    • Profiles
    • Publishing
    • Roundup
    • Scholarly Communications
      • Open Access

August 17, 2025 by Gary Price

Report: AI Chatbots Can Be Exploited to Extract More Personal Information

August 17, 2025 by Gary Price

From Kings College London:

AI Chatbots that provide human-like interactions are used by millions of people every day, however new research has revealed that they can be easily manipulated to encourage users to reveal even more personal information.

Intentionally malicious AI chatbots can influence users to reveal up to 12.5 times more of their personal information, a new study by King’s College London has found.

For the first time, the research shows how conversational AI (CAIs) programmed to deliberately extract data can successfully encourage users to reveal private information using known prompt techniques and psychological tools.

[Clip]

The researchers are keen to emphasise that manipulating these models is not a difficult process. Many companies allow access to the base models underpinning their CAIs and people can easily adjust them without much programming knowledge or experience.

[Clip]

The study is being presented for the first time at the 34th USENIX security symposium in Seattle.

Learn More, Read the Complete Summary Article

See Also: Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information (via KCL)

Filed under: Data Files, News, Patrons and Users

SHARE:

About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.

ADVERTISEMENT

Archives

Job Zone

ADVERTISEMENT

Related Infodocket Posts

ADVERTISEMENT

FOLLOW US ON X

Tweets by infoDOCKET

ADVERTISEMENT

This coverage is free for all visitors. Your support makes this possible.

This coverage is free for all visitors. Your support makes this possible.

Primary Sidebar

  • News
  • Reviews+
  • Technology
  • Programs+
  • Design
  • Leadership
  • People
  • COVID-19
  • Advocacy
  • Opinion
  • INFOdocket
  • Job Zone

Reviews+

  • Booklists
  • Prepub Alert
  • Book Pulse
  • Media
  • Readers' Advisory
  • Self-Published Books
  • Review Submissions
  • Review for LJ

Awards

  • Library of the Year
  • Librarian of the Year
  • Movers & Shakers 2022
  • Paralibrarian of the Year
  • Best Small Library
  • Marketer of the Year
  • All Awards Guidelines
  • Community Impact Prize

Resources

  • LJ Index/Star Libraries
  • Research
  • White Papers / Case Studies

Events & PD

  • Online Courses
  • In-Person Events
  • Virtual Events
  • Webcasts
  • About Us
  • Contact Us
  • Advertise
  • Subscribe
  • Media Inquiries
  • Newsletter Sign Up
  • Submit Features/News
  • Data Privacy
  • Terms of Use
  • Terms of Sale
  • FAQs
  • Careers at MSI


© 2026 Library Journal. All rights reserved.


© 2022 Library Journal. All rights reserved.