Data bias: ethical considerations for understanding diversity in medical artificial intelligence

The increasing integration of artificial intelligence (AI) across society, especially in medicine, raises serious concerns regarding the ethics of whom these systems truly represent. Particularly, with the recent rise of publicly accessible artificial intelligent chatbots, the importance of recognizing potential inherent biases in current AI decision-making capacity is paramount to designing effective solutions in the future. It is imperative that medical AI systems ensure diversity, inclusivity, and equitable representation in their development and deployment in order to prevent such powerful technology from perpetuating existing healthcare disparities in access and outcomes. The text explores the recent evolution and future implications of lacking principles of diversity, equity, and inclusion in medical AI and how this raises related ethical concerns. This article also features digital art that was created using AI to visually symbolize the powerful themes of the beauty and important future of diversity in medicine and biotechnology.