Introduction Artificial intelligence (AI) technologies are reshaping the pharmaceutical R&D landscape, especially in the realms of drug discovery, clinical trial design, and biomedical data analysis. Machine learning algorithms are increasingly used to accelerate research timelines, reduce costs, and optimize clinical success rates. However, these systems also introduce new types of risk. Errors such as biased data sets, incorrect predictions, or opaque decision-making may […]