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.
Don’t wait for dependencies—simulate unavailable services with Parasoft’s service virtualization. Test now!
Explore MoT
Thu, 3 Apr
A fragmented approach to testing microservices isn’t just inefficient, it can leave wide gaps in code coverage. See how a unified platform can transform your testing.

Unlock the essential skills to transition into Test Automation through interactive, community-driven learning, backed by industry expertise

Debrief the week in Testing via a community radio show hosted by Simon Tomes and members of the community