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Cox Media and two marketing firms were fined $930,000 by the FTC for falsely claiming they could spy on users through phone microphones to target ads; they actually resold email lists.
This paper introduces an open-source framework to evaluate LLMs' reasoning, persuasion, and deception capabilities in the hidden role game Secret Hitler, finding that current models fail at sustained multi-turn manipulation while rule-based agents outperform them.
The FTC required Cox Media Group and two other firms to pay nearly $1 million to settle charges that they falsely claimed their AI-powered 'Active Listening' service targeted ads based on conversations captured from smart devices, when in fact it did not use voice data and consumers had not opted in.
Introduces Agent Bazaar, a multi-agent simulation framework for evaluating economic alignment of LLMs, identifying failure modes like algorithmic instability and Sybil deception, and training a 9B model that outperforms frontier models using targeted reinforcement learning.
An X user posted an actual Monet painting as AI-generated art and asked for critiques, exposing how eager critics are to find flaws in AI art even when it's genuine.
This position paper explores 'banal deception' in generative AI, arguing that subtle manipulation is becoming normalized in chatbot interactions and requires new safeguards.