E153 - The Man Who Said No - Human in the loop

I've been reading this book by Ethan Mollick called Co-Intelligence, and there's this really interesting paradox he talks about. You'd think that now that AI can look up facts, write code, summarise research, basically do all the "boring" foundational stuff, we wouldn't need to bother learning it ourselves anymore, right? Like, why memorize things when ChatGPT already knows it? But Mollick writes that it's actually the opposite. We need that foundational knowledge now MORE than ever. Because without it, how do you even know if the AI is giving you the right answer? He gives this great example. GPT-4 actually outscored first and second-year medical students on clinical reasoning exams. So the temptation is to just let the AI handle the basics. But only a skilled physician, with extensive knowledge of human anatomy and diseases, can scrutinise an AI-generated diagnosis or treatment plan and say, "Wait, that doesn't add up." A first-year student can't. You need real expertise to catch mistakes and think critically. The more AI becomes part of our work, the more we need genuinely skilled humans in the loop. Not just any human in the loop. We also need a culture that supports that human in the loop. Today’s story drives home this point. #humanintheloop #automationbias #culture #AI #decisionmaking #Businessstorytelling For more #storiesatwork do have a look the playlists of stories on our website - https://bit.ly/SW_Stories Your friends and family can join our WhatsApp group to get copies of our videos. https://bit.ly/SW_WA_11