Detecting Unfairness in Human-Robot Interaction

This research article explores algorithm-based biases in robotic behavior and their impact on human-robot interactions. It proposes computational models to identify microaggressions, discrimination, and social exclusion, aiming to develop mechanisms that promote fairness and social inclusion in mixed human-robot groups. The study highlights the importance of understanding group dynamics and the psychological effects of social rejection caused by biased robotic behavior.