Clus is a prototype software to which will highlight potential areas of bias in content. The objective is for Clus to be able to identify all forms of bias in imagery and literature content using machine learning.
At the current rates of hiring, it would take about 71 years (2080) to fill the employment gap between Black and White people in advertising agencies (Bendick & Egan, 2009). Factors like these and others contribute to campaigns with potential harmful racist content making it to the public. The inclusive marketing movement has intensified with the global awareness of the Black Lives Matter campaign. Brands and companies worldwide are committing to anti-racist actions in all aspects.
The Clus prototype will use intersectional data and machine learning to identify skin tone within images and provide resources.
ABOUT THE TEAM
Joyann Boyce is an Inclusive Marketing Consultant and owner of The Social Detail. Joyann has placed data at the heart of her approach to marketing, from idea to creation to reviewing and consumption. Joyann is currently a Data Fellow with the SWCTN, researching data bias.
Tola Salau is a UX/UI designer with a masters degree in Mechanical and Manufacturing Engineering. Tola has an in-depth understanding of designing with the user in mind.
Tessa S. Alexander is a Research Software Engineer/Systems developer with 20 years experience in web development, and over ten years within education, most recently with the University of Bristol.