"AI-Driven Healthcare Technologies and Algorithmic Gender Bias: A Need for Data Feminism"
Speaker: Pin Lean Lau, Brunel University London, Brunel Law School, UK
Time: Thursday, 16 December 2021, 13:00 AM CET
This seminar is a presentation of a work in progress. Specifically, my paper looks at how we may strengthen capacities of providing good quality healthcare that employ the use of AI-driven technologies, viewed from the perspective of feminist approaches. I emphasize that there is a co-relation between quality of care and data-sets/algorithms in contemporary AI technologies within the sphere of health.
Notably, existing literature review demonstrates that there is not only a gender data gap in AI technologies and data science fields – but there is also a gender data gap in healthcare that may result in algorithmic gender bias. I critically assess the impact that this kind of algorithmic bias can have on women’s legal rights in health, and the danger posed to their lives because of such inequity in AI systems.
The seminar will be broadcasted via Zoom application. Participation is subject to prior registration. The Zoom link of the event will be sent to registered participants via email. Contact: Kitti Mezei firstname.lastname@example.org