In an age of ubiquitous data collecting, analysis and processing, how can citizens judge the trustworthiness and fairness of systems that heavily rely on algorithms? News feeds, search engine results and product recommendations increasingly use personalization algorithms to help us cut through the mountains of available information and find those bits that are most relevant, but how can we know if the information we get really is the best match for our interests?
thank you for your interest in the “UnBias: Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy” project. What you find here is a temporary welcome message. The site is still under construction and will be gaining more content in the coming weeks to better introduce our work.
The official start date for this project is September 1st 2016, so please bear with us as we get things ready.
Sincerely,
the UnBias team
Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy
