TK MILAB AI AND LAW SERIES: AI-DRIVEN HEALTHCARE TECHNOLOGIES AND ALGORITHMIC GENDER BIAS: A NEED FOR DATA FEMINISM
Pin Lean Lau (Brunel University London) presentation titled "AI-Driven Healthcare Technologies and Algorithmic Gender Bias: A Need for Data Feminism" on December 16, 1:00 pm.
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.
Ultimately, I make a case for the need for data feminism. I suggest that intersectional feminism can reorient the way we think about and manage algorithmic data in healthcare; and challenge and change the differentials of power that influence the dynamics of bias and under-representation.
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. Register here.
