The Subtle Prejudices of AI and Machine Learning

AI and machine learning models are not immune to biases present in tech workplaces, primarily because they are trained on datasets that themselves may be biased. These technologies can perpetuate and amplify existing prejudices, affecting everything from hiring tools to facial recognition software. The need for diverse teams in developing these technologies is critical to identifying and mitigating inherent biases.