Affecting Machines: Mapping Women’s Contributions to AI
We launched a set of trading cards that showcases the often-overlooked contributions of women and gender non-conforming folks in technology, computing, and the development of AI.
Team Lead Lindsay Rodgers, and Working Group members Rachel Kirstein, Aviva Majerczyk, and Saskia Kowalchuk hosted a participatory workshop where they collaboratively played with and gamified this deck through a series of hands-on activities:
Affecting Machines: Normative Principles for Gender Equity in AI
This workshop aimed to introduce participants to ways in which feminist design principles can be applied in AI research and development environments. Sabrina Ward-Kimola, Mohsen Monji and Juliette de Lamberterie, researchers in the fields of critical/feminist theory, science and technology studies (STS) and sociology, presented and discussed a set of normative principles for gender equity in AI.
Researchers and practitioners of all backgrounds, particularly students and professionals in machine learning and related fields, were welcome to attend and participate in this interactive workshop. We reflected on how to think about and develop AI systems that are more inclusive, equitable, non-discriminatory, and socially responsible. By bridging the gap among disciplines, this opportunity allowed participants to further develop critical thinking within applied AI contexts.
See the full Affecting Machines Working Group team here.