The infusion of innovation into the healthcare system requires a sociotechnical approach to minimize opportunities for unintended consequences and ensure that effective care results from the change. This commentary shares 5 contexts for exploring safe artificial intelligence (AI) implementation challenges: interoperability, safety measurement, adverse event prediction, large clinical database analysis, and generative AI development.