Executive Summary

Centering students in Artificial Intelligence (AI) ethics education is necessary to achieve commonly stated societal desires for responsible, safe, and trustworthy AI. The problem is that AI ethics material is not enough for an educational program to train ethical behavior in future professionals working with AI systems. Education needs to forego the traditional models of depositing knowledge and skills into students and instead account for the real cognitive-behavioral dispositions of students’ lives. We argue that discourse offers a practical method and observable measure for instruction that effectively impacts precursors for behavioral change. Drawing on evidence in cognitive-behavioral psychology, discourse improves the efficacy of decision-making, is normatively tractable, promotes student confidence, and directly qualifies students for AI ethics work. By reframing AI ethics education around discursive practice, we encourage scholars, practitioners, and policymakers to consider the students at the heart of the sociological change expected by the AI ethics field.

Date

September 1, 2025

Relevant Stakeholders

General Public

Themes

AI, Computing, and STEM Education

Methodological Areas

Philosophical analysis

Citation

Wiese, L. J., & Schiff, D. S. (2025). Discourse Before Doctrine: The Category Error at the Heart of AI Ethics Education. In W. Holmes (Ed.), Handbook of Critical Studies of Artificial Intelligence and Education. Edward Elgar Publishing Ltd.

Link to publication