Artificial Intelligence, Medical Imaging, Neural Networks, Ethical Ai, Image Processing.
models. A big reason for bias in AI models is the underrepresentation of minority groups. Because AI model performance drops when there is not enough data, predictions about these groups will be wrong more often. GANs can be a way to increase the amount of data for a subgroup. In medical imaging,