12 February 2024, Responsible Digital Transformations (RDT) Monthly Meeting, FemData. Identifying bias in data

Data have a very powerful influence: they can sustain prevailing societal inequalities, but they also have the potential to transform them. To stimulate discussion about bias in data and to connect stakeholders, FemData was started in August 2023. FemData focuses on the ways that gender biases can distort the model outcomes by influences the collection, labeling, and interpretation of data, leadin to skewed insights, and perpetuating inequality. In this talk, Paulina and Myrthe will introduce their initiative and provide some examples from previous research on the topic of gender bias in data applications.