AI’s Bias in Predictive Healthcare with Associate Professor Marzyeh Ghassemi

Associate Professor Marzyeh Ghassemi discusses why, despite its
tremendous potential for good, AI must be approached with caution,
especially in high risk areas like healthcare. Biases in training
data can perpetuate real-world inequalities, providers might rely
too much on potentially faulty AI, and tools created for one
demographic might not necessarily translate to a different
population. However, considering the incredible potential of AI to
tackle challenges in transformative ways, it’s worth approaching
these considerations with rigorous academic insight. Learn more
about her work here:
https://www.csail.mit.edu/person/marzyeh-ghassemi