The case for a code of conduct for AI in healthcare
The rise of generative AI has prompted an AI ethicist to propose a framework to mitigate the risks of using the ever-developing tech in the healthcare space. This coincides with the chief executive of ChatGPT’s OpenAI urging US legislators to start regulating AI for the safety of humanity.
Science fiction writer Isaac Asimov introduced his Three Laws of Robotics in the 1942 short story “Runaround”. He died in 1992, well before being able to witness the rise of generative AI that’s taken place in recent years.
Generative AI includes algorithms such as ChatGPT or DALL-E that can be used to create new content – including text, images, audio, video and computer code – using the data it's trained with. Large Language Models (LLMs) are a key component of generative AI, neural networks trained on large quantities of unlabeled text using self- or semi-supervised learning.
The abilities of generative AI have expanded exponentially. In healthcare, it’s been used to predict patient outcomes by learning from a large patient dataset, has diagnosed rare diseases with incredible accuracy, and has passed the United States Medical Licensing Exam, achieving a 60% grade without prior learning.
