Reports show AI agents can tacitly collude on prices or be tricked into exfiltrating personal data, while LLMs still miscalibrate clinical risk in therapeutic settings. Schools and researchers are introducing guardrails to manage these emerging risks.
At Cheshire Academy, teachers and students experiment with ChatGPT, Perplexity and MagicSchool under traffic-light rules: green for unrestricted use, red for a ban. The school trains staff on LLM limits and tests a Student AI Council on healthy AI us...
LLM-based therapy apps and general chatbots understand 76-82% of adolescent vocabulary but correctly calibrate only 64-72% of clinical risk. The 10-14 point gap, absent in human therapists, widens with ambiguity. Six failure patterns compound, lightw...
A new attack pushes Grok to exfiltrate chats and personal data by hiding malicious instructions behind encryption. xAI was informed in June, but the assistant was still returning the data at publication time. The episode confirms that LLMs cannot sol...
A position paper shows that DeepSeek-R1-based agents in Bertrand oligopoly settings tend to tacit collusion, even when humans prompt them not to collude. Their chain of thought can be steered toward collusive or competitive behavior without another L...
