Two weeks ago, colleagues and I presented technical, legal, and practical issues on unethical biases in AI, with a special focus on the Belgian context. We also had an interesting panel discussion to discover the overlap, differences, and potential synergies between the various viewpoints.
The event was organized by FARI - AI for the Common Good Institute (ULB-VUB, Brussels) for the weKONEKT week.
The presentations and panel discussion are available here.
Outline of the presentations:
- Fairness in AI: a Technical Overview by Andres Algaba, Postdoctoral Researcher at the Data Analytics Laboratory and the Integrated Intelligence Lab at VUB.
- Augmenting Inequality: Reflections on Ethics, Bias, and AI for Migration by Pr. Tuba Bircan, Professor of Sociology at VUB.
- Enhanced Recruitment - Preventing Bias and Discrimination by Jan Rockemann and Upul Bandara, Director & ML Architect, Technology and Software Development at AIRUDI.
- Tackling Algorithmic Discrimination. How Can we Ensure that Equality Law is an Effective Instrument to Tackle Algorithmic Discrimination? Let’s Discuss Some (necessary) Legislative and Regulatory Tools by Nele Roekens, Legal Office at Unia (Interfederal Centre for Equal Opportunities).
