Modern AI (artificial intelligence) learns from data and automates tasks, while generative AI creates original content like articles, images, or videos. WHO’s comprehensive guideline “Ethics and Governance of Artificial Intelligence for Health” released in June 2021 outlines six principles for AI applications in healthcare, including protecting human autonomy and promoting transparency. The principles aim to guide governments, researchers, and healthcare providers in utilizing AI responsibly.
In January 2024, WHO updated its guidelines, focusing on generative AI, particularly Large Multimodal Models (LMMs), which is capable of producing diverse outputs from various data inputs. Despite uncertainties regarding their capabilities, research suggests that LMMs will have broad applications in healthcare and beyond, known as “general-purpose baseline models.” Their rapid adoption is attributed to their ability to mimic human interaction, potentially disrupting traditional social services, leading to significant investments from governments and enterprises.
WHO releases this guideline to assist in assessing the benefits and challenges of using LMMs in healthcare and to formulate corresponding policies. This article provides an overview of the recommendations and the pros and cons of using AI in the medical field outlined in this guideline, as well as discuss the current EU, US, and Taiwan regulations and developments in the field of AI.