By Sara Gerke and Joshua Feldman
Walking her bike across an Arizona road, a woman stares into the headlights of an autonomous vehicle as it mistakenly speeds towards her. In a nearby health center, a computer program analyzes images of a diabetic man’s retina to detect damaged blood vessels and suggests that he be referred to a specialist for further evaluation – his clinician did not need to interpret the images. Meanwhile, an unmanned drone zips through Rwandan forests, delivering life-saving vaccines to an undersupplied hospital in a rural village.
From public safety to diagnostics to the global medical supply chain, artificial intelligence (AI) systems are increasingly making decisions about our health. Legislative action will be required to address these innovations and ensure they improve wellbeing safely and fairly.
In order to draft new national laws and international guidelines, we will first need a definition of what constitutes artificial intelligence. While the examples above underscore the need of such a definition, they also illustrate the difficulty of this task: What is uniquely common between self-driving cars, diagnostic tools, and drones? Read More