This insightful article discusses the limitations and potential of generative artificial intelligence, particularly in the context of science and healthcare. It highlights that generative AI, like ChatGPT, can provide accurate information on non-controversial topics but may exhibit biases and errors when dealing with controversial or evolving subjects.
The author emphasizes the need for a paradigm shift from reductionist science to systems science in healthcare, challenging the validity of randomized controlled trials (RCTs). They argue that the transition is essential for building a sustainable healthcare system and advocate for a human-computing symbiosis to generate intelligent solutions. Ultimately, the author calls for a collective effort to improve healthcare through innovative and empathetic approaches.