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!

#award #research #kasneci-enkelejda

Subscribe to RSS News feed

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

27.05.2026

Medical Diagnoses: How AI Explanations Help Doctors

Stefan Feuerriegel shows that AI models can improve diagnostic accuracy in radiology – but how the AI explains its recommendations is crucial.

MCML Members Receive Honourable Mention at CHI 2026

Enkelejda Kasneci and Ka Hei Carrie Lau Recognized for Research on Avatar Bias in AI Hiring

Related