BIAS 2020: International Workshop on Algorithmic Bias in Search and Recommendation

The International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2020) was co-located with the 42nd European Conference on Information Retrieval (ECIR 2020) on April 14, 2020.

Search and recommendation are getting closer and closer as research areas. Both classes of algorithms aim to learn patterns from historical data that conveys biases in terms of imbalances and inequalities. These hidden biases are unfortunately captured in the learned patterns, and often emphasized in the results these algorithms provide to users. When a bias affects a sensitive attribute of a user, such as their gender or religion, the inequalities that are reinforced by search and recommendation algorithms even lead to severe societal consequences, like user discrimination.

Being able to detect, measure, characterize, and mitigate these biases while keeping high effectiveness is a prominent and timely topic for the IR community. This workshop aimed to collect new contributions in this emerging field and to provide a common ground for interested researchers and practitioners.

Organizers

• Ludovico Boratto
• Stefano Faralli
• Mirko Marras
• Giovanni Stilo

Workshop website

AIIM Lab page