  With the aim of studying how current multimodal AI algorithms based on
heterogeneous sources of information are affected by sensitive elements and
inner biases in the data, this demonstrator experiments over an automated
recruitment testbed based on Curriculum Vitae: FairCVtest. The presence of
decision-making algorithms in society is rapidly increasing nowadays, while
concerns about their transparency and the possibility of these algorithms
becoming new sources of discrimination are arising. This demo shows the
capacity of the Artificial Intelligence (AI) behind a recruitment tool to
extract sensitive information from unstructured data, and exploit it in
combination to data biases in undesirable (unfair) ways. Aditionally, the demo
includes a new algorithm (SensitiveNets) for discrimination-aware learning
which eliminates sensitive information in our multimodal AI framework.
