Council Post: Responsible AI in Healthcare

The growing significance and widespread adoption of AI have raised concerns among researchers and healthcare practitioners regarding the lack of transparency and responsibility in various aspects, from data acquisition to implementing algorithms in the field. However, much of the research in this area has been conducted within Western and European contexts. This is problematic because AI-based systems are highly influenced by the context in which they are deployed. As a result, many non-Western scholars find that much of the existing research on using AI-based systems in the public sector is not directly relevant to their contexts. AI/ML-enabled Medical Devices with Governance Implement robust regulatory frameworks for AI/ML-enabled medical devices; strong data privacy and security m