The field of artificial intelligence (AI) is a dynamic discipline with immense potential to impact and revolutionize public health. The advancement of large language models (LLMs) like Chat GPT and other applications requires comprehensive and ongoing research and careful deliberation within the public health discipline to assess both the opportunities and risks associated with their future implementation. Accordingly, it is critical to prioritize the preparation of public health systems and their organizations for the impending data and systems transformation required to effectively harness the power of AI in future applications.

The future of AI in public health holds great promise for addressing complex health challenges and achieving improved health outcomes. Some key areas of future development include predictive analytics and early intervention. Despite these opportunities, it is crucial to address challenges related to data privacy, equity, and ethical considerations to ensure responsible and inclusive deployment of AI in public health.

On this page, alPHa will curate a list of resources related to AI and public health that we believe will be useful to our members as we navigate this rapidly evolving landscape.