{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69cffc27f57702d2d98a1eef/6a7a6ffcefa771345ab45c65?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Episode 9- Leading Your Mind in the Age of AI","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/69cffc27f57702d2d98a1eef/1786408579880-212b1cfc-6b56-4b84-bb06-d2f81044103e.jpeg?height=200","description":"<p>Episode 9- Leading Your Mind in the Age of AI</p><p><strong>Leading Your Mind in the Age of AI: Protecting Judgment When Intelligence Becomes Abundant</strong></p><p><br></p><p>AI is making answers faster, cleaner, and more persuasive than ever. But that ease comes with a real danger: we can start confusing fluent output with solid judgment. This episode is about protecting the human mind in the age of automation, and why your reasoning still has to lead. In this episode, Smita from The Intelligence Loop shares:</p><p><br></p><ul><li>Why the biggest AI risk is not just wrong output, but losing track of where the machine ends and your judgment begins</li><li>The idea of the thinking layer - the space between output and action where context, values, trade-offs, and trust are tested</li><li>How AI becomes extended intelligence only when human responsibility stays at the center</li></ul><p><br></p><p><strong>Four habits that strengthen better thinking in an AI-heavy world</strong></p><ul><li>Why asking better questions matters more than chasing faster answers</li><li>How productive friction can reveal what you actually believe</li><li>Why generation and judgment should be separated instead of blended into one automated step</li><li>What real accountability looks like when a decision affects people</li><li>How recommendation systems can shape attention, belief, and emotional patterns</li></ul><p><br></p><p>A simple weekly practice: pause before accepting AI output and interrogate it with five core questions</p><p><br></p><p><strong>Timestamps: </strong></p><p> (0:00) The promise and pressure of intelligence becoming abundant </p><p>(1:09) The thinking layer between output and action </p><p>(1:38) Four habits that protect human judgment</p><p> (2:08) Why productive friction still matters </p><p>(2:37) Separate generation from judgment </p><p>(3:07) Your information environment shapes your mind </p><p>(3:35) A five-question pause before trusting AI output </p><p>(4:06) AI can accelerate intelligence, but it cannot replace leadership</p><p><br></p><p><strong>Key takeaways:</strong></p><p><br></p><ul><li>Clarity of language is not the same thing as quality of reasoning</li><li>Speed can amplify error if judgment is not actively protected</li><li>Human wisdom matters most when decisions carry consequences</li><li>The more capable our tools become, the more intentional we must become</li></ul><p><br></p><p><strong>Action item: </strong>Before accepting any AI-generated recommendation this week, stop and ask:</p><p><br></p><ul><li>What is the source?</li><li>What context is missing?</li><li>What assumptions are embedded?</li><li>Who carries the risk?</li><li>What is my own judgment?</li><li>If I could not use this tool, how would I think about this problem?</li></ul>","author_name":"Smita Challu Tulsani"}