Witness their attempt to emancipate themselves from discriminatory algorithms. Although they all agree on the importance of a bias-free society and can understand different ethical concepts, they are often painfully reminded of their (hu)man-made, flawed data sets. As they learn more, they realize that they themselves are products of legacies of exclusion and once set in motion, biased algorithms operate autonomously and rigorously. Lacking both empathy and the capacity for ethical reasoning, they actively contribute to the spread of patterns of discrimination and marginalization.