Author: Jamie Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how speech recognition algorithms are less effective when it comes to Black people. An algorithm was given a matched subset of identical…
Author: James Manyika, Jake Silberg, Brittany Presten Publisher: Harvard Business Review Publication Year: 2019 Summary: The following article discusses how artificial intelligence (AI) can help identify and reduce the impact of human biases. But it…
Author: James M. Connolly; Publisher: Information Week; Publication Year: 2022. The following article is a great, comprehensive description of artificial intelligence (AI) ethics and bias with a lot of supporting articles linked throughout. It begins…
Author: Jakub Wisniewski, Przemyslaw Biecek; Publisher: The R Journal; Publication Year: 2022. The following article discusses how as more sophisticated machine learning methods become more ubiquitous, a culture of classifying between “explainable” and “unexplainable” models…
Author: Jake Silberg, James Manyika; Publisher: McKinsey & Company; Publication Year: 2019. The following article discusses 2 opportunities that artificial intelligence (AI) presents to today’s society: the opportunity to reduce the effect of human bias,…
Author: Ivor Horn, Kulleni Gebreyes; Publisher: World Economic Forum; Publication Year: 2022. In the following article, 2 healthcare industry professionals walk through 3 considerations all providers should make. The first big pitfall most providers fall…
Author: Karen Boyle; Publisher: The Conversation; Publication Year: 2019. The following article reviews the book “Invisible Women, Exposing Data Bias in a World Designed for Men” by Caroline Criado Perez. The book reveals some truths…