Marta Ruiz Costa-Jussà, a researcher from the Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) research centre, analyses how gender bias in natural language processing —a sub-branch of artificial intelligence— affects, for example, some Google Translate translations, in which one gender prevails, and automated hiring processes that prioritise male candidates over female candidates. The researcher talks about the causes of this phenomenon and the challenges it poses to artificial intelligence.
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Eight university teams consisting of 42 students from the Universitat Politècnica de Catalunya · BarcelonaTech (UPC), Esade and the IED Barcelona of 19 nationalities, presented their prototypes online after months of work sharing knowledge with CERN scientists. The projects have been in development since September in partnership with Fusion Point, the co-working area shared by the three institutions on the Rambla de la Innovació, on Esade’s Sant Cugat del Vallès campus.
This year’s participants worked online with CERN teams to address some of today’s social issues using cutting-edge technologies developed by the scientific institution. The projects include proposals to reassure users of public transport following COVID-19, systems to increase the motivation of people working from home, technology to facilitate distance learning by people with autism and apps to verify posts on social media. Each challenge was developed by two teams of students from different universities who defined them according to sustainable development goals.