Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. Hrsg. / Tung X. Bui. Honolulu: University of Hawaii at Manoa, 2025. S. 4744-4753 (Hawaii International Conference on System Sciences (HICSS); Band 2025).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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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 Hawaii at Manoa
CY - Honolulu
ER -