Artificial intelligence, COVID-19, and the future of pandemics [PODCAST]

"Machine learning is only as good as the information provided to train the machine. Models trained on partial datasets can skew toward demographics that often turned up in the data—for example, Caucasians or men over 60. There is concern that "analyses based on faulty or biased algorithms could exacerbate existing racial gaps and other disparities in health care." Already during the pandemic's first waves, multiple AI systems used to classify x-rays have been found to show racial, gender, and socioeconomic biases.