Alongside experts from various fields, she explored how biased training data can lead to serious consequences, such as AI failing to detect heart attack symptoms in women or chatbots misleading teenagers in crisis situations. The panel discussed the need for bias mitigation, regulation, and co-creation with diverse users to build more inclusive health technologies. Watch the live stream here: https://dezwijger.nl/programma/decoding-data-bias