How bad data keeps us from good AI | Mainak Mazumdar
Listen now
Description
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.
More Episodes
"Storytelling is one of the most powerful marketing and leadership tools there is," says communications expert Kelly D. Parker. She explains how stories make proposals of all kinds more memorable — and shows how you can craft a compelling narrative to connect, persuade and drive meaningful action.
Published 04/23/24
Published 04/23/24
When it comes to artificial intelligence, what are we actually creating? Even those closest to its development are struggling to describe exactly where things are headed, says Microsoft AI CEO Mustafa Suleyman, one of the primary architects of the AI models many of us use today. He offers an...
Published 04/22/24