Healing with Responsible AI.
Artificial intelligence (AI) is transforming healthcare by enabling earlier diagnosis, supporting clinical decision-making, improving operational efficiency and accelerating medical research. AI-powered systems can analyse vast quantities of clinical data far more quickly than humans, helping identify patterns that may otherwise remain unnoticed. However, in healthcare, accuracy alone is insufficient. A highly accurate algorithm that is biased, opaque, insecure or poorly governed can still cause serious harm to patients and undermine public trust. This realization has given rise to the concept of Responsible AI (RAI) which is an approach that integrates ethics, governance, technical robustness, transparency, privacy, accountability and human oversight throughout the lifecycle of an AI system. Responsible AI recognizes that trustworthy deployment depends not only on sophisticated algorithms but also on careful organizational processes and continuous monitoring. Several i...