The increasing use of artificial intelligence in ophthalmology raises important questions surrounding patient privacy, data ownership, algorithmic fairness, transparency, and responsible innovation. Ophthalmic AI systems often depend on large clinical and imaging datasets, making strong governance frameworks essential for protecting patients and maintaining public trust.
This session will examine ethical principles associated with the development and deployment of AI technologies in vision care. Discussions will address informed consent, data protection, algorithmic bias, explainability, transparency, cybersecurity, responsible data sharing, and equitable access to AI-enabled healthcare.
The session will also consider how clinicians, researchers, technology developers, healthcare organizations, and regulators can collaborate to establish responsible AI practices. Experts will explore governance approaches that encourage innovation while protecting patient rights, safety, confidentiality, and clinical integrity.