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📝 TL;DR A new study found that people accepted bad AI answers nearly 80% of the time, and still felt more confident while doing it. That means the danger is not just wrong AI output, it is how quickly people stop questioning it. 🧠 Overview Researchers introduced a powerful new term, cognitive surrender, to describe what happens when people hand over judgment, effort, and responsibility to AI instead of thinking things through themselves. Across 1,372 participants and more than 9,500 trials, the study found that people often accepted AI answers with very little skepticism, even when those answers were deliberately wrong. This matters because it challenges the comforting idea that human review is enough to catch bad AI output. 📜 The Announcement The paper, posted in January 2026 as an SSRN working paper by researchers at Wharton, tested how people reason with and without AI help. In the experiments, participants could choose whether to consult AI, and the system was intentionally wrong about half the time. When the AI was correct, people followed it most of the time. When it was wrong, they still accepted the bad answer at an alarmingly high rate, and users with AI also reported confidence that was 11.7% higher than people working without it. ⚙️ How It Works • Deliberately tricky setup - Researchers gave participants reasoning tasks where AI responses were sometimes correct and sometimes intentionally wrong. • Optional AI use - People were not forced to use AI, they chose when to consult it. • High acceptance of bad answers - When AI was wrong, participants still accepted those faulty answers about 80% of the time. • Confidence boost anyway - People using AI felt more certain in their answers, even when the model misled them. • Human review often failed - Instead of catching weak logic, many users simply absorbed the AI response into their own final answer. • Preprint status - This is a working paper, not a final peer-reviewed publication, but the findings are already getting attention because the behavioral pattern is so striking.