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  1. Exposing Implicit Biases and Stereotypes in Human and Artificial Intelligence: State of the Art and Challenges with a Focus on Gender.Ludovica Marinucci, Claudia Mazzuca & Aldo Gangemi - forthcoming - AI and Society.
    Biases in cognition are ubiquitous. Social psychologists suggested biases and stereotypes serve a multifarious set of cognitive goals, while at the same time stressing their potential harmfulness. Recently, biases and stereotypes became the purview of heated debates in the machine learning community too. Researchers and developers are becoming increasingly aware of the fact that some biases, like gender and race biases, are entrenched in the algorithms some AI applications rely upon. Here, taking into account several existing approaches that address the (...)
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