Ethics and AI

Data science has become a technology with many applications, such as in risk management, with counter-terrorism and tax fraud detection applications, or in a business setting to increase profitability and revenues or reduce costs. For a citizen, data science has led to better services and more efficient services. However, just as with any technology, data science has also led to some negative consequences. Ethics is all about what is right and what is wrong. In this course, participants will learn about the different concepts and techniques related to data science ethics.

This course uses a framework to discuss data science ethics in a business setting, evaluating the fairness, accountability and transparency, in the different stages of a data science project: from data gathering to model deployment. There will be ample of case studies and examples that illustrate the importance of considering ethics in data science projects, as well as theoretical concepts and techniques that can be used to improve on the ethical aspects.

The course features more than 3 hours of video lectures, more than 50 multiple choice questions, and various references to background literature. A certificate signed by the instructors is provided upon successful completion.