Embed ethics in AI capacity building using hands-on approaches, case studies, and role reversal¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 1 study (1 review), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description¶

The review reports that AI ethics education pilots recommend active, experiential delivery. The University of North Carolina pilot "suggested the value of prototyping/hands-on approaches and challenging students to employ diverse ethical approaches", and the University of Oulu pilot recommended future implementations incorporate unexpected ethical issues through methods like case study analyses and role reversal between defenders and opponents. Delivery methods across the 41% of capacity-building studies include seminars, summer schools, challenge-based learning engineering ethics courses, and constructivist hands/minds-on experiences with robots.

Design Implications¶

Context¶

Requirements¶

• Explicit guidance is needed, since US Information and Computer Science students often failed to consider ethical implications of AI design for privacy and well-being without it

Constraints¶

• Few programmes report training on ethical issues around AI, and even fewer on best practices for ethical integration of AI resources

Target Learners¶

• Future AI professionals especially in Engineering
• K-12, TVET and higher education students
• Teachers, school deans and researchers

Target Learning Goals¶

• Understanding ethical implications of AI design and use
• AI literacy and AI ethics competence
• Informed choices about AI applications

Claims¶

• Capacity building on AIED ethics covers 41% of studies, yet only four of 42 training studies assessed impact, and ethics training is largely absent [+W]
• AI ethics can serve as a compelling entry point for teacher AI education, increasing teacher confidence and engaged classroom discussions [+W]

Related Strategies¶

• Embed GenAI literacy and ethical use directly in nursing curricula rather than prohibiting it
• Fund AI literacy initiatives integrating AI ethics into curricula and adapting assessments
• Embed critical AI literacy into curricula and institutional practices in higher education
• Design future cybersecurity PD with contextual guidance, AI-related topics, and up-to-date resource alternatives
• Integrate interactive, competency-based diabetic foot care training into continuing professional development, supported by organizational resources

Examples¶

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Key Sources¶

• Ana Mouta, Ana María Pinto-Llorente, Eva María Torrecilla-Sánchez. (2023). Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00384-9