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.