Скачать или смотреть ICHI 2021 - Fairness in Healthcare AI Tutorial - Part 8 (Conclusion 1)

The issue of bias and fairness in healthcare has been around for centuries. With the integration of AI in healthcare the potential to discriminate and perpetuate unfair and biased practices in healthcare increases many folds. The tutorial focuses on the challenges, requirements and opportunities in the area of fairness in healthcare AI and the various nuances associated with it. The problem healthcare as a multi-faceted systems level problem that necessitates careful consideration of different notions of fairness in healthcare to corresponding concepts in machine learning is elucidated via different real world examples.

Additional Information at: https://responsibleml.github.io/

Muhammad Aurangzeb Ahmad
Christine Allen
Juhua Hu
Vikas Kumar
Ankur Teredesai

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