12.03.2026
MCML Members Receive Honourable Mention at CHI 2026
Enkelejda Kasneci and Ka Hei Carrie Lau Recognized for Research on Avatar Bias in AI Hiring
MCML PI Enkelejda Kasneci and MCML Junior Member Ka Hei Carrie Lau have received an Honourable Mention Award at CHI 2026 for their paper “Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring”.
The award acknowledges the paper’s originality, rigor, and potential impact in human-computer interaction. The study investigates how avatar appearances affect perceptions in AI hiring, providing key insights into bias and fairness in AI systems.
Congratulations from us!
Related
16.09.2026
Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI
MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.
