How bad data keeps us from good AI | Mainak Mazumdar

Visit to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more. 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. The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. You’re welcome to link to or embed these videos, forward them to others and share these ideas with people you know. Become a TED Member: Follow TED on Twitter: Like TED on Facebook: Subscribe to our channel: TED’s videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy (). For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at