TY - CHAP

T1 - Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods

AU - Tschoppe, Nils Johann

AU - Katsarov, Johannes

AU - Drews, Paul

AU - Trittin-Ulbrich, Hannah

PY - 2025/1/7

Y1 - 2025/1/7

N2 - Artificial intelligence (AI) and its recent advancements pervade vast areas of education, the workplace, and society. As a driver of technological progress, AI has the potential to transform entire business areas, optimize the way we work and live together, and promote creativity. Concomitantly, it harbors the risk of biased algorithms, discrimination, and misinformation. Accordingly, it is now more important than ever to teach students—as potential future designers and users of AI systems—how to deal responsibly and ethically with AI. To support educators in conveying the responsible and ethical use of AI, we conducted a systematic literature review based on the PRISMA guideline. As a result, we present an overview of established and innovative methods of teaching AI ethics in K–12 and academic settings. We discuss these in terms of their effectiveness and grounding in learning theories and derive implications for theory and practice.

AB - Artificial intelligence (AI) and its recent advancements pervade vast areas of education, the workplace, and society. As a driver of technological progress, AI has the potential to transform entire business areas, optimize the way we work and live together, and promote creativity. Concomitantly, it harbors the risk of biased algorithms, discrimination, and misinformation. Accordingly, it is now more important than ever to teach students—as potential future designers and users of AI systems—how to deal responsibly and ethically with AI. To support educators in conveying the responsible and ethical use of AI, we conducted a systematic literature review based on the PRISMA guideline. As a result, we present an overview of established and innovative methods of teaching AI ethics in K–12 and academic settings. We discuss these in terms of their effectiveness and grounding in learning theories and derive implications for theory and practice.

KW - Informatics

KW - Business informatics

KW - Computing Education

KW - artificial intelligence

KW - education

KW - ethics

KW - innovation

KW - prisma

M3 - Article in conference proceedings

T3 - Hawaii International Conference on System Sciences (HICSS)

SP - 4744

EP - 4753

BT - Proceedings of the 58th Hawaii International Conference on System Sciences

A2 - Bui, Tung X.

PB - University of Hawaiʻi at Mānoa

CY - Honolulu

ER -