Neuroscientist and AI researcher Vivienne Ming says we are measuring the wrong things, hiring for the wrong traits, and building AI that makes us less capable. The fix, she argues, is not more training—it is a different kind of human.
Ming is author of Robot-Proof: When Machines Have All the Answers, Build Better People. She doesn’t speak about the future of work the way most executives do. Where they tend to see a straightforward productivity story—AI as a tool that will absorb the tedious tasks and free humans for the interesting ones—she sees a far more unsettling picture. The serial AI entrepreneur argues that the very premise of the debate is wrong, and that the skills companies are currently training for are the ones AI will master first. Click here to read the full-text article