Are you curious about the impact of automated gender recognition systems?
The implications and deep-rootedness of gender and diversity considerations in practices and structural systems have been largely disregarded in the development of algorithms. Questions around the consequences of missing the gender and sex dimension in algorithms for society are particularly poorly understood and often underestimated, in general, and in particular in decisions that affect our lives significantly.
While it is no surprise that algorithms exacerbate existing biases, such as gender biases, and thereby affect marginalised communities, rapid technological advancements give rise to growing concerns with regard to the discriminatory outcomes and other potentially adverse impacts that gendered algorithms may have for large parts of society. Although different communities focus on diversity and inclusion in AI environments, the investigation is very much scattered and little compared to other research strains that focus on safety or data protection. Moreover, it is often unclear how this research informs global governance efforts that aim to frame these rapid developments adequately.
In this episode of The Law of Tech Podcast, I explored and discussed the legal and broader impact and implications of automated gender recognition systems with Eduard Fosch-Villaronga, Assistant Professor at the eLaw Center for Law and Digital Technologies at Leiden University.
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