Charting a Responsible Course for AI

Every few years, a new technology arrives that asks the pharmacy field not just "Can this be done?" but "How should it be done well?" Artificial intelligence (AI) is the latest, and arguably the most consequential, of these moments. From dose-checking algorithms to predictive analytics for medication adherence, AI is already woven into many of the workflows that pharmacists rely on day to day. That kind of presence calls for thoughtful stewardship alongside enthusiasm.

This issue's feature article by Anjeza Fero, PharmD, RPh, examines what stewardship can look like in practice—the real work of implementing AI tools in day-to-day pharmacy operations. It is a helpful reminder that conversations about AI benefit from staying grounded in specifics: workflow redesign, staff training, and the operational details that shape whether a promising tool actually improves care or simply adds friction.

Pharmacists have long served as a critical check between a prescription and a patient. That role doesn't go away because a machine learning model now flags an interaction or predicts a readmission risk. If anything, it may matter even more. AI tools are only as reliable as the clinical judgment overseeing them, and trust in these systems depends on keeping that judgment in human hands.

A few themes seem worth keeping in view as adoption continues. Transparency matters: Pharmacists, technicians, and patients benefit from knowing when AI is informing a clinical decision, which data shaped it, and where its limitations lie. Education matters too, since new tools often arrive faster than the training needed to use them well. Schools of pharmacy and professional organizations can help close that gap. And equity deserves attention, because AI systems trained on incomplete or biased data can unintentionally widen existing disparities in care.

None of this is a reason to slow innovation. AI holds real promise to reduce errors, lighten administrative burden, and free up more time for patient interaction. But that promise is best realized carefully rather than quickly. The hope is that as AI becomes a more permanent fixture in pharmacy, it strengthens the relationship between the pharmacist and the patient rather than substituting for the judgment that the relationship depends on. How that balance is struck now will likely shape how this technology serves patients for years to come.

As always, thank you for reading.