TY - GEN
T1 - Enhancing University Curricula with Integrated AI Ethics Education: A Comprehensive Approach
AU - Deb, Debzani
AU - Taylor, Greg
AU - Betz, Scott
AU - Maddux, Bao Anh T.
AU - Ebert, C. Edward
AU - Richardson, Flourice W.
AU - Couto, Jeanine Lino S.
AU - Jarrett, Michael S.
AU - Madjd-Sadjadi, Zagros
PY - 2025
Y1 - 2025
N2 - As AI technologies become more prevalent, it is crucial for students to develop responsible, ethical, and proactive AI engagement skills. Recent educational initiatives have focused on enhancing CS and engineering students’ AI ethics education but have largely overlooked integrating these concepts across other disciplines. This paper presents and assesses a pioneering initiative that integrates AI ethics into university curricula through a collaborative framework between CS and domain educators. We introduced 1-3-week AI ethics modules in seven diverse courses from Art to Chemistry, incorporating case studies and hands-on activities using chat- or image-based Large Language Models (LLMs). Student surveys indicated significant gains in confidence regarding AI ethics discussions, application of principles, and reasoning skills. Our approach advocates for utilizing structured frameworks and faculty collaboration in embedding AI ethics into university curricula, enhancing students’ practical skills and ethical understanding across diverse professional settings.
AB - As AI technologies become more prevalent, it is crucial for students to develop responsible, ethical, and proactive AI engagement skills. Recent educational initiatives have focused on enhancing CS and engineering students’ AI ethics education but have largely overlooked integrating these concepts across other disciplines. This paper presents and assesses a pioneering initiative that integrates AI ethics into university curricula through a collaborative framework between CS and domain educators. We introduced 1-3-week AI ethics modules in seven diverse courses from Art to Chemistry, incorporating case studies and hands-on activities using chat- or image-based Large Language Models (LLMs). Student surveys indicated significant gains in confidence regarding AI ethics discussions, application of principles, and reasoning skills. Our approach advocates for utilizing structured frameworks and faculty collaboration in embedding AI ethics into university curricula, enhancing students’ practical skills and ethical understanding across diverse professional settings.
UR - https://dx.doi.org/10.1145/3641554.3701953
U2 - 10.1145/3641554.3701953
DO - 10.1145/3641554.3701953
M3 - Conference contribution
VL - 1
SP - 248
EP - 254
BT - Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1
PB - Association for Computing Machinery
ER -