Inequal by design ? How to think together about closing gender gap in data

Lecture presented by Isabelle Collet, Université de Genève

Abstract: Today, women account for less than 15% of IT students. This virtual absence of gender diversity in the digital sector has consequences not only for gender equality in employment, but also for the inclusiveness and performance of digital applications. The great uniformity of the developer and manager population (white males from the middle or upper classes) tends to obscure the needs and characteristics of other populations, particularly women. 

The aim of this conference is to expose the gender bias of artificial intelligence, and then to consider the educational solutions that need to be put in place to enable the whole of society to understand the challenges of data.

Biography: Prof. Isabelle Collet is a former computer scientist. For the past 20 years, her research has focused on narrowing the gender gap in STEM (particularly computer science) and developing inclusion strategies for women in higher education. She directs the educational research group Gender and Intersectional Relations (G-RIRE) at the University of Geneva. In 2019, she publishes "Les oubliées du numérique”.

Mots clés : ai equality gender bias it student