Maintaining Principles in an Age of AI

Safety in AI systems that touch patients or providers can’t be an afterthought — it has to be built in from the start. That means designing safeguards and checks into the system architecture itself, with careful attention to data quality and the real possibility of harmful errors. Safety is foundational, not simply a matter of evaluating whether an output looks right after the fact.

Human oversight is equally non-negotiable. Qualified people need to remain involved in decisions that could significantly affect individuals, because technology alone isn’t sufficient. That means training the people who use AI systems, not just the systems themselves. Maintaining that layer of human judgment and accountability is what preserves trust with patients, physicians, and pharmaceutical clients over the long term.