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AI: The issue of bias


Vincent Violago and Nikko Quevada discuss the various types of bias in machine learning algorithms and the data used to train the algorithms. They also analyse patents directed to bias mitigation, as well as the reasons machine bias is difficult to identify and eliminate

Machine or algorithmic biasAlong with artificial intelligence (AI) interpretability and reproducibility issues, debiasing or the elimination of bias relating to the application of AI particularly in healthcare, criminal justice, education and welfare has become one of the AI field's pressing...


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