Much of the early public discussion about AI focused on what AI could do better than humans and where it would replace human labor. The same thing happened with the emergence of computers in the 1960’s and is perhaps a natural human response to new technologies perceived as a threat. This line of thinking certainly sold more newspapers, but it missed the far more important point that the big breakthroughs in productivity and intelligence would come from human-AI and human-computer teaming.
In this podcast discussion with Gautam Mukunda and Shawn Bice, we had a chance to dig into what the collaborative human-AI intelligence of the future would look like, how AI will change human decision-making and how it will impact employment, science and technology innovation. You can listen to the discussion here.