Strengths and weaknesses of chatbots for health advice
"The Reasoning with Machines Laboratory at the University of Oxford got a team of doctors to create detailed, realistic scenarios that ranged from mild health issues you could deal with at home; through to needing a routine GP appointment, an A&E trip, or requiring calling an ambulance. "When the chatbots were given the complete picture they were 95% accurate. "But it was a very different story when 1,300 people were given a scenario to have a a conversation with a chatbot about in order to get a diagnosis and advice. "It was the human-AI interaction that made things unravel as the accuracy fell to 35% —two thirds of the time people were getting the wrong diagnosis or care."