Mind vs Machine: Implications for Productivity, Wages and Employment from AI

Moderator: Daron Acemoglu, Professor, MIT Department of Economics

Erik Brynjolfsson, Director, MIT Initiative on the Digital Economy, and Professor, MIT Sloan School of Management

Robert Gordon, Professor of Social Sciences, Northwestern University

Joel Mokyr, Professor, Northwestern University

Recorded: Nov 2nd, 2017.

[dannygjk]

10 years from now...Machine: "You were the executive director..."

[EccentricaGallumbits]

What did he say at 53:00 "In the Industrial Revolution not only did Britain not have a welfare state, they dismantled what little they had of it in 1834 when they abolished the old act" Thanks

[paxdriver]

I think safety requirements, new certification requirements and human resources changes to labor laws is the reason for the dip in productivity. Workers are way more productive than ever, but bureaucracy has more than quadruples since 2007. That's not to say it's bad, just that reporting "near misses" and having regular safety meetings takes resources

[pardoharsimanjuntak]

the intelligence of computer calculation and the intelligence of the human mind both have to work well.