Titlebook: Advances in Bias and Fairness in Information Retrieval; 5th International Wo Alejandro Bellogin,Ludovico Boratto,Mirko Marras Conference pr

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,Bias Reduction in Social Networks Through Agent-Based Simulations,e systems expose people to information at scale is difficult to do as one cannot assume each user is subject to the same timeline condition and building appropriate evaluation infrastructure is costly. We show that a simple agent-based model where users have fixed preferences affords us the ability

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,Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenreferences. In this setting, the models are capable of mapping users’ protected attributes (e.g., gender or ethnicity) from these user embeddings even without explicit access to them, resulting in models that may treat specific demographic user groups unfairly and raise privacy issues. While prior w

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