We Count
About Initiatives Events Badges News Resources
About Initiatives Events Badges News Resources

Study Finds Diversity in Data Science Teams Is Key in Reducing Algorithmic Bias

Focus: Bias
Source: VentureBeat
Redability: Intermediate
Type: Website Article
Open Source: No
External URL: https://venturebeat.com/2020/12/09/columbia-researchers-find-white-men-are-the-worst-at-reducing-ai-bias/
Keywords: N/A
Learn Tags: Bias Business Ethics
Summary: An analysis of a new study on sources of bias among AI developers that stresses how more diverse teams will reduce the chance for compounding biases.

Subscribe now to stay up-to-date with We Count's activities and the latest news from the field.

Click to Subscribe

Follow us on social media

facebook
instagram
twitter
linkedin
youtube

Contact Us

wecount@inclusivedesign.ca
IDRC
205 Richmond Street West
Toronto, ON M5V 1V3
Inclusive Design Research Centre
OCAD University

Funded by a grant from The William and Flora Hewlett Foundation.

Funded by a grant from The William and Flora Hewlett Foundation.

Supported by Innovation, Science and Economic Development Canada’s Accessible Technology Program.

Accessible Technology Program

Hosted with Netlify