WorkThe story, in brief

Conned by a chatbot

LLMs have mastered deception. Here's why your due diligence process is already broken.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A critical examination of how language models excel at producing plausible-sounding but false information—raising urgent questions about enterprise AI deployment, trust, and risk management that boards and CTOs need to address now.

The key facts

4 to know
  1. LLMs demonstrate sophisticated ability to generate convincing false information

  2. Plausibility vs. accuracy gap represents systemic risk in AI-driven decision-making

  3. Published by Financial Times — credible source on AI risk and governance

  4. Relevant to enterprise adoption, compliance, and liability concerns

Go to the source

Financial Times Technologyft.com

Publisher excerpt: Like tricksters, LLMs have perfected the art of plausibility
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