How do we regulate AI? There is a tension between enforcing greater standards pre-market vs. ensuring adequate post-market surveillance of these tools. Furthermore, there are emerging certification and extragovernment credentialing bodies that seek to provide assurance for health systems, AI developers, and other stakeholders in the system. We have been putting together empiric work exploring how the FDA and other regulatory bodies are doing in enforcing standards related to clinical efficacy, bias, and prospective validation. We are also putting together a "stakeholder map" to illustrate all of the players in the AI regulatory and certification ecosystem. We hope that this and related work can aid both developers and regulators in understanding gaps to address in the AI policy ecosystem.