The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy
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Abstract (arXiv)
As artificial intelligence (AI) further embeds itself into many settings across personal and professional contexts, increasing attention must be paid not only to AI ethics, but also to the governance and regulation of AI technologies through AI policy. However, the prevailing post-secondary computing curriculum is currently ill-equipped to prepare future AI practitioners to confront increasing demands to implement abstract ethical principles and normative policy preferences into the design and development of AI systems. We believe that familiarity with the 'AI policy landscape' and the ability to translate ethical principles to practices will in the future constitute an important responsibility for even the most technically-focused AI engineers. Toward preparing current computer science (CS) students for these new expectations, we developed an AI Policy Module to introduce discussions of AI policy into the CS curriculum. Building on a successful pilot in fall 2024, in this innovative practice full paper we present an updated and expanded version of the module, including a technical assignment on "AI regulation". We present the findings from our pilot of the AI Policy Module 2.0, evaluating student attitudes towards AI ethics and policy through pre- and post-module surveys. Following the module, students reported increased concern about the ethical impacts of AI technologies while also expressing greater confidence in their abilities to engage in discussions about AI regulation. Finally, we highlight the AI Regulation Assignment as an effective and engaging tool for exploring the limits of AI alignment and emphasizing the role of 'policy' in addressing ethical challenges.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 39 references that are in the map. First posted on arXiv 18 Jun 2025.
Builds on
5 of 39 references.
References · 5
- 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
- 2020Principles to Practices for Responsible AI: Closing the Gapcited by 25
- 2017Ethical Considerations in Artificial Intelligence Coursescited by 4
- 2025Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Coursecited by 2
- 2025Assessing Computer Science Student Attitudes Towards AI Ethics and Policycited by 2
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Citing papers per year: 2025: 1.
1 paper.