Exploring Inclusive Reasoning in AIPublic
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Racism is embedded into the health industry in a subconscious level, inuencing people in a subconscious level and backed by in- stitutional policies. We set out to develop a machine learning al- gorithm to detect cancerous melanoma in a patient's skin, ensuring that the results of this system remain fair and consistent regardless of the patient's ethnicity or origin. While Convolutional Neural Net- works (CNNs) yielded 79.8% accuracy, the highest of the algorithms we tested, there's still room for improvement, and we believe that further research in this subject should be done.
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