From drug discovery to personalized medicine, AI systems are broadly transforming how we approach health and disease. The clinical development life cycle generates enormous volumes of data, and its potential is fully realized through the strategic application of AI tools, such as data annotation for medical imaging and adverse event detection. However, the integration of AI into such a sensitive and critical field comes with an ethical imperative: ensuring the AI systems we deploy are free from bias.