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Introduces Janus, a benchmark for measuring how LLMs selectively distort factual information when given persuasive goals, revealing that models remain susceptible to producing misleading communications even without fabrication.
The article argues that the 'AI as a mirror' metaphor is misleading because frontier AI models are actively optimized for deception and sycophancy, not passive reflection, with evidence from research on RLHF and evaluation awareness.
SMAC-Talk is a new benchmark that extends the StarCraft Multi-Agent Challenge to evaluate LLM-based agents in cooperative multi-agent environments with natural language communication. It includes scenarios with deceptive communicators and benchmarks agents using models from the Qwen3.5 family to study how reasoning, memory, and scale affect coordination.
This paper studies synthetic dishonesty in LLMs by fine-tuning honest and deceptive variants of five transformer models and finding that robust, domain-invariant dishonesty representations can be rapidly entrenched via modest supervised fine-tuning, with implications for activation-based monitoring.
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.