Intersectionality theory has recently emerged in the health sciences as a critical theoretical
and methodical approach. Though some scholars have outlined explicit guidelines for …

Intersectionality is a widely adopted theoretical orientation in the field of women and gender
studies. Intersectionality comes from the work of black feminist scholars and activists …

Problems of bias and fairness are central to data justice, as they speak directly to the threat
that 'big data'and algorithmic decision-making may worsen already existing injustices. In the …

Machine learning algorithms pervade contemporary society. They are integral to social
institutions, inform processes of governance, and animate the mundane technologies of …

Intersectionality involves the study of the ways that race, gender, disability, sexuality, class,
age, and other social categories are mutually shaped and interrelated through forces such …

This essay explores how developing more complex analyses of power and politics sheds
light on important themes for both intersectionality and participatory democracy. Drawn from …

A growing number of studies on fairness in artificial intelligence (AI) use the notion of
intersectionality to measure AI fairness. Most of these studies take intersectional fairness to …

Multiculturalism and social justice are considered major forces in the counseling profession,
revolutionizing the complexity of social identity, cultural identity, and diversity. Although …

Using intersectionality to change how psychologists think about the demographic profile of
their participants is one readily available change that psychologists across the discipline can …

The laden phrase “identity politics” has come to signify a wide range of political activity and
theorizing founded in the shared experiences of injustice of members of certain social …