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Have you ever blindly followed AI, like GPS, even when your gut feeling screamed otherwise? You're not alone. We explore the dangerous phenomenon of *overtrusting Artificial Intelligence (AI)* and why our brains are wired to do it. Join Dr. Amita Kapoor and Narotam Singh from Retured as we dive into - The Trust Paradox: ► Understanding the Spectrum: Learn the difference between under-trust, over-trust, and the goal: Calibrated Trust. ► Why We Overtrust: Discover the key cognitive biases at play: Automation Bias: Our tendency to favor automated suggestions over our own critical thinking. Confirmation Bias: How AI, especially Large Language Models (LLMs), can create digital echo chambers. Cognitive Offloading: The risk of letting our own skills atrophy by relying too heavily on AI. Anthropomorphism: How human-like AI design makes us lower our guard. ► The LLM Catalyst: Why modern Generative AI and *AI Hallucinations* make overtrust even more dangerous. ► Real-World Consequences: See shocking examples of AI overtrust in legal cases (lawyers citing fake cases!), medicine (misdiagnosis), chatbots giving harmful advice, and decision-making simulations. ► How to Fix It: Explore the multi-pronged approach needed to build healthy Human-AI interaction: Technology: Explainable AI (XAI) and Uncertainty Quantification. Design: Human-centered interfaces that encourage critical thinking. Education: The vital role of AI literacy for everyone. Don't let blind faith in AI lead you astray. Learn how to build a balanced, calibrated trust and use AI safely and effectively. Remember the golden rule: Verify, then trust. #AITrust #OvertrustAI #CognitiveBias #AutomationBias #AIethics #AISafety #LLM #ExplainableAI #Retured