Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations
This study investigated how users trust AI reasoning explanations when those explanations are intentionally flawed or delivered with different tones. Researchers found that users primarily trust the final judgment, even if the reasoning is wrong. Crucially, confident delivery styles suppress error detection, leading to dangerous blind trust and highlighting that explanation style significantly impacts reliable use.