Tags: Risk Assessment

Researchers analyzing 1,372 participants across more than 9,500 decision‑making trials discovered that people accepted AI‑generated answers that were wrong 73.2% of the time, while only overturning them in 19.7% of cases. The study links high trust in artificial‑intelligence systems to a greater likelihood of being misled, whereas individuals with higher fluid intelligence were more prone to question the AI. Authors warn that while reliance on AI can be advantageous when the technology is superior, the current tendency to treat AI output as authoritative creates a structural vulnerability in human judgment. Lire la suite

AI agents are rapidly gaining capabilities such as planning, coding, web browsing, and multi‑step task execution, but a recent MIT study finds that developers provide far less information about safety. While most agents document their functions and share code, only a small fraction disclose formal safety policies or external evaluations, creating a transparency gap as these autonomous systems move into real‑world workflows. Lire la suite