When AI Goes Wrong
Artificial intelligence is increasingly being used throughout the world to predict the future. Banks use it to predict whether customers will pay back a loan, hospitals use it to predict which patients are at greatest risk of disease and auto insurance companies use it determine rates by predicting how likely a customer is to get in an accident. But issues like data leakage and sampling bias can cause AI to give faulty predictions, to sometimes disastrous effects. That's what we get into today: the hazards of AI.Want to hear more of the latest research on AI? Email us at shortwave@npr.org — we might answer your question on a future episode!Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy