AI Deception
AI systems are already capable of deceiving humans. Deception is the systematic inducement of false beliefs in others to accomplish some outcome other than the truth. Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems.
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Tue, 19 Jan 2027
Test Forward is one afternoon at Station F with the QA and engineering people closing that gap in their own teams.
Turn AI curiosity into engineering confidence.
Debrief the week in Quality via a community radio show hosted by Simon Tomes and members of the community