Most artificial intelligence applications focus on optimizing their predictions. However, machine learning algorithms should not be focused solely on accuracy but should be evaluated with respect to how they might impact disparities in patient outcomes. AI researchers must explore ways to reduce machine learning bias in healthcare or explain how to create algorithms that specifically alleviate inequalities

To prevent artificial intelligence (AI) from encoding the disparities that exist, algorithms should predict an outcome as if the world were fair.

University of Salamanca (USAL) aims to improve medical students' digital & social skills with an innovative online program developed in cooperation with European Higher Education Institutions (HEIs) and companies around 5 European countries: Spain, Finland, Greece, Netherlands and Belgium. This training includes understanding the capabilities of Artificial Intelligence (AI) in today's medicine and training in Soft Skills, to encourage the confidence of healthcare professionals and society in AI. This educational program is being developed as part of the implementation of the Project AIIS.