ABSTRACT
In January 2019, IBM announced the release of a “new large and diverse dataset called Diversity in Faces o advance the study of fairness and accuracy in facial recognition technology”. The dataset provides 1 million human facial images annotated using 10 coding schemes, with the hope to "accelerate the study of diversity and coverage of data for artificial intelligence (AI) facial recognition systems to ensure more fair and accurate AI systems." Networked technologies have offered individuals and groups ways to communicate and organise, becoming a powerful force for change in both developed and developing countries. However, even as the internet has enabled increased democracy through participatory practices, the major platforms have, "systematically divided people into market segments and political tribes. Digital redlining prevents certain users from seeing employment and housing opportunities, while digital inequality can exacerbate educational and income inequality.
