There are 10 key technologies that will drive the Next Economy, the one that underpins them all is artificial intelligence. And while AI is already delivering value, many challenges are left to be overcome before it truly reaches its potential.
As someone who’s developed emotion recognition technology and have talked to leaders, organizations and groups about the limits of artificial intelligence, I was delighted to read a contrarian perspective on artificial intelligence on the NY Times: Gary Marcus argues that AI must account for basic concepts of how the world works, like time, space, and causality, beyond statistical pattern detection, before it can earn our trust.