The Critical Role of Inclusive Data in AI Decision-Making

The future economy won't be built by people and factories, but by algorithms and artificial intelligence, says data scientist Mainak Mazumdar. But what happens when these algorithms get trained on biased data? Drawing on examples from Shanghai to New York City, Mazumdar shows how less-than-quality data leads to AI that makes wrong decisions and predictions -- and reveals three infrastructural resets needed to make ethical AI possible.

Learn more about our flagship conference happening this April at attend.ted.com/podcast

Hosted on Acast. See acast.com/privacy for more information.