Ethical Considerations in Artificial Intelligence Courses
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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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 3.
4 papers.
- 2025Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Coursecited by 2
- 2021Measuring Ethics in AI with AI: A Methodology and Dataset Constructioncited by 1
- 2025The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policycited by 1
- 2025A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluationcited by 0
- 2025A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation21 Oct 2025
- 2025The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy18 Jun 2025
- 2025Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course11 Feb 2025
- 2021Measuring Ethics in AI with AI: A Methodology and Dataset Construction26 Jul 2021