European policies and legal instruments are increasingly drawn to a technocentric approach regarding Artificial Intelligence (AI) fairness – that is, they pay a lot of attention to the technical issues of AI, such as ensuring that datasets are balanced and free from errors. With this blog post, I argue that it is not sufficient to focus solely on the technical aspects of fairness without also considering the social, political, and economic systems that shape AI’s development and deployment. Instead, a broader socio-technical approach should be considered. This post is based on my recent publication “Predictive justice in light of the new AI Act proposal”.
Continue reading “Predictive Justice and the AI Act: the reuse of sensitive data for bias mitigation”Author: Chiara Gallese
Marie Skłodowska-Curie Postdoctoral Fellow at the University of Torino | TEDx Speaker | Keynote speaker | Individual Expert @ GPAI Code of Practice Working Groups | AI & Law, AI Ethics, Data Protection Law, Health Law