# Ethical Considerations in Artificial Intelligence Courses

arXiv: https://arxiv.org/abs/1701.07769 · HTML: https://mlsanity.com/paper/1701.07769/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Jan 2017.

## Built on by (most cited first, 4 of 4)

- [Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course](https://mlsanity.com/paper/2502.07931/) (2025)
- [Measuring Ethics in AI with AI: A Methodology and Dataset Construction](https://mlsanity.com/paper/2107.11913/) (2021)
- [The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy](https://mlsanity.com/paper/2506.15639/) (2025)
- [A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation](https://mlsanity.com/paper/2510.18931/) (2025)

## Abstract (arXiv)

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.