Bias in AI: A Primer - KDnuggets

Bias in AI is as important now as it ever has been; it has always been an important topic, but it seems to be getting more attention as time goes on, attention it rightfully deserves. No longer an afterthought in relevant courseware and texts, AI bias and the related concepts of ethics, inclusion, and diversity are core and early topics in courses such as Stanford's CS224n: Natural Language Processing with Deep Learning, and the upcoming book from the Fast.ai Aside from the gradually-increasing interest and inclusion of AI bias and ethics concerns from and by a wide variety of practitioners in their daily work, numerous researchers today are making a focused and very conscious impact as well. Margaret Mitchell is one such researcher working in this area. Mitchell (@mmitchell_ai) is a Senior Research Scientist in Google's Research & Machine Intelligence group.