Biased algorithms in health care can lead to inaccurate diagnoses and delayed treatment. Deciding which variables to include to achieve fair health outcomes depends on how you approach fairness.
S. Craig Watkins, MLK Visiting Professor at MIT, looks beyond algorithm bias to an artificial intelligence future where models more effectively deal with systemic inequality.
Disinformation, algorithms, big data, care work, climate change, and cultural knowledge can all be invisible. This exhibition brings them to the light.