Ethical Considerations in Artificial Intelligence Courses
This work helps AI educators prepare students to understand the societal impacts of AI, but it is incremental as it builds on existing educational frameworks without introducing new technical methods.
The paper addresses the challenge of integrating ethics into AI education by providing practical case studies and resources for educators, with concrete suggestions for both integrating ethics into general AI courses and teaching standalone ethics courses.
The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course.