Principles of Data Science Ethics
About this Course
Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics. News stories appear regularly about credit algorithms that discriminate against women, medical algorithms that discriminate against African Americans, hiring algorithms that base decisions on gender, and more. In most cases, those who developed and deployed these algorithms and data processes had no such intentions, and were unaware of the harmful impact of their work. This data science ethics course for both practitioners and managers provides guidance and practical tools to build better models and avoid these problems. The course offers a framework data scientists can use to develop their projects, and an audit process to follow in reviewing them. Case studies along with Python code are provided.Created by: Statistics.com
Level: Intermediate
Related Online Courses
Taught by lauded Harvard professor Michael Sandel, Justice explores critical analysis of classical and contemporary theories of justice, including discussion of present-day applications. Topics... more
This course, part of the Public Library Management Professional Certificate program, explores strategies for developing effective grant proposals and for engaging the community in crowdfunding... more
Albert Einstein has become the icon of modern science. Following his scientific, cultural, philosophical, and political trajectory, this course aims to track the changing role of physics in the... more
Have you ever wondered what causes mental illness, or why we react to stress the way we do? Or what to expect as you get older? Clinical psychology is the study of psychological disorders and the... more
Have you created an outline and now feel prepared to start writing your novel? Or have you started a novel draft only to find your interest or confidence waning? In this course, the international... more
Powered by
