# How bad data keeps us from good AI

- Institution: TED
- Department: TED Salon Dell Technologies
- Speaker: Mainak Mazumdar
- Year: 2020
- Level: For everyone
- Language: English
- Source: [TED](https://www.ted.com/talks/mainak_mazumdar_how_bad_data_keeps_us_from_good_ai)
- Licence: [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) (Non-commercial use only, and no changed versions.)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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.

## Lectures

1. [How bad data keeps us from good AI](https://invisiblenetwork.ai/learn/ted/mainak_mazumdar_how_bad_data_keeps_us_from_good_ai/b5a42ab5de74), 10 min (TED's player)