Sign In

Communications of the ACM

ACM News

Identifying Artificial Intelligence 'Blind Spots'


AI blind spots

A model by MIT and Microsoft researchers identifies instances where autonomous systems have "learned" from training examples that don't match what's actually happening in the real world, which can be used to identify which learned actions could cause costly errors.

Credit: MIT News

A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world.

From MIT News
View Full Article

 


 

No entries found