Basic Concepts in Bias and Fairness in Machine Learning скачать в хорошем качестве

Basic Concepts in Bias and Fairness in Machine Learning

In this video: There are many examples where a machine learning model improperly discriminates against people, leading to an unfair outcome. In this video, we review some basic concepts concerning fairness in machine learning. Presented by Paulo Shakarian, Associate Professor, Arizona State University. About the channel: The Neuro Symbolic Channel provides the tutorials, courses, and research results on one of the most exciting areas in artificial intelligence and machine learning. With content originally from the AI course taught at Arizona State University, this channel brings you the latest at the intersection of symbolic methods (e.g., logic programming) and deep learning. Learn about the latest algorithms, Python packages, and progress toward larger goals such as artificial general intelligence (AGI).