The Seven Principles of Data Feminism

This paper presents a set of intersectional feminist principles for conducting equitable, ethical, and sustainable AI research. In Data Feminism (2020), we offered seven principles for examining and challenging unequal power in data science. Here, we present a rationale for why feminism remains deeply relevant for AI research, rearticulate the orig... See more

This begs the question: What might it mean to reimagine the form of these datasets in a world unconstrained by pressures like speed, scale, and universality? By looking to artists like Anna Ridler and others for their rejection of “off-the-shelf” datasets, we can imagine what it would be like to curate datasets with much deeper intention and contex... See more

This begs the question: What might it mean to reimagine the form of these datasets in a world unconstrained by pressures like speed, scale, and universality? By looking to artists like Anna Ridler andothers for their rejection of “off-the-shelf” datasets, we can imagine what it would be like to curate datasets with much deeper intention and context... See more