ERC Advanced Grant · 2017
Foundations for Fair Social Computing
Social computing represents a societal-scale symbiosis of humans and computational systems, where humans interact via and with computers, actively providing inputs to influence and being influenced by, the outputs of the computations. Recently, several concerns have been raised about the unfairness of social computations pervading our lives ranging from the potential for discrimination in machine learning based predictive analytics and implicit biases in online search and recommendations to their general lack of transparency on what sensitive data about users they use or how they use them. In this proposal, I propose ten fairness principles for social computations. They span across all…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.