Publication/Creation Date

February 9 2018

Creators/Contributors

Joy Buolamwini (creator)
Timnit Gebru (contributor)
Massachusetts Institute Of Technology (MIT) (contributor)

Description

The Gender Shades Project, created at MIT Media Lab by PhD student Joy Buolamwini, pilots an intersectional approach to inclusive product testing for AI. This research found that there is  bias in facial recognition software with regards to gender and race, due to a lack of diversity in datasets.

Buolamwini states that, "we risk losing the gains made with the civil rights movement and women's movement under the false assumption of machine neutrality. Automated systems are not inherently neutral. They reflect the priorities, preferences, and prejudices—the coded gaze—of those who have the power to mold artificial intelligence."

Augments

Seeing, Tracking, Recognizing, Discriminating

Technology Keywords

Machine Learning, Algorithms, Artificial Intelligence (AI), Data, Facial Recognition , Facial Analysis, Predictive Analytics

Keywords

Bias, Discrimination, Gender, Women, Racism, Black People, Social Justice, Diversity, Representation, Research

Marketing Keywords

Microsoft , Face++, IBM, Algorithmic Justice League

Source

https://www.youtube.com/watch?v=TWWsW1w-BVo&t=135s
https://www.media.mit.edu/projects/gender-shades/overview/