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Exploring Inclusive Reasoning in AI Public

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Racism is embedded into the health industry in a subconscious level, influencing people in a subconscious level and backed by institutional policies. We set out to develop a machine learning algorithm 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 Networks (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.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Last modified
  • 08/29/2021
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Subject
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Identifier
  • E-project-050621-094300
  • 22731
Advisor
Year
  • 2021
UN Sustainable Development Goals
Date created
  • 2021-05-06
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