Women and AI

We are exploring the different types of interaction between women and Artificial Intelligence, from an intersectional perspective:

• The role of women in AI, particularly in ecosystems like the one in Montreal
• The lack of data on issues exclusively affecting women (e.g. feminicides or forced sterilizations of indigenous women)
• The invisibility of women in most datasets where men are the default
• The representation of women in gendered technologies (voice assistants, robots, etc.)

• The effects of AI on gendered social dynamics (digital sexuality, social robots, etc.)

• Discriminatory algorithmic biases

The main research questions are:

• How can we fight gender bias from different geographical and cultural perspectives?
• How to increase the visibility of women, especially women of color and indigenous people, in the data collected?
• How to decolonize and degender Artificial Intelligence?
• How to reconcile the ethical commitments of academics, governments, and companies on responsible AI with the reality observed on the ground?
• What actions can be taken now to improve the place of women in technology while considering other intersectional factors?

For questions, contact Project Director Claire Boine (cboin029[at]uottawa.ca)

This content has been updated on 26 November 2022 at 15 h 36 min.