Diverse forms of artificial intelligence (AI) are at the forefront of triggering digital security
innovations based on the threats that are arising in this post-COVID world. On the one hand …

This paper examines the ethical solutions raised in response to OpenAI's language model
Generative Pre-trained Transformer-3 (GPT-3) a year and a half from its release. I argue that …

Name-based gender classification has enabled hundreds of otherwise infeasible scientific
studies of gender. Yet, the lack of standardization, reliance on paid services, understudied …

In recent years, there has been a growing interest in the field of “AI Ethics” and related areas.
This field is purposefully broad, allowing for the intersection of numerous subfields and …

Today, sustainability in higher education is a key factor for our society, and women play a
fundamental role. However, gender faces a series of inequalities in this field of action, and …

The gender gap in computer science (CS) research is a well-studied problem, with an
estimated ratio of 15%–30% women researchers. However, far less is known about gender …

Over the past 20 years, there has been a concentrated effort on expanding K–12 pathways,
experiences, and access in computer science education (CSEd). Computer science (CS) is …

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 …

As independently-contracted employees, gig workers disproportionately suffer the
consequences of workplace surveillance, which include increased pressures to work …

Conference authorship, attendance and presentation is a key measure of quality in the HCI
academic, yet we know conferences are not equally accessible for reasons that have …