Ethical risk management of AI in education proceeds bottom-up through individual faculty guidance and student self-strategies because institutional support is lacking¶

Claim · All claims
Evidence · 1 study (2 entries) · qualitative r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Lacking an institutional roadmap, faculty members manage ethical risks through individual strategies such as reporting usage criteria, raising awareness, revising tasks, and human control, while students verify AI content from multiple sources. → Buket Bilgiç and Demet Sever 2026 q2 i? Both faculty members and students rely on personal efforts to access information about AI and ethics, and institutional structures are not yet sufficiently effective in supporting this process. → Buket Bilgiç and Demet Sever 2026 (2)

Evidence¶

Buket Bilgiç and Demet Sever 2026¶

Buket Bilgiç and Demet Sever (2026). Understanding ethical dimensions of AI in higher education: insights from faculty members and students. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00601-0

q2 · i? · qualitative · r3

Authors' integration of the risk-management theme. Faculty reported guidance practices (usage reporting criteria, awareness raising, scenario-based content, changed tasks, detection tools, human control) and students reported verifying AI outputs via multiple sources and original sources; the article notes these efforts fall short.

"The ethical risk management process regarding the use of AI in education has been shaped by a bottom-up approach due to the lack of an institutional roadmap."

Buket Bilgiç and Demet Sever 2026 (2)¶

Buket Bilgiç and Demet Sever (2026). Understanding ethical dimensions of AI in higher education: insights from faculty members and students. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00601-0

q2 · i? · qualitative · r3

Concluding sentence of the Resources and support theme from the interviews. Both groups accessed information via social media, digital resources, peers, and informal learning, while both reported a lack of professional support from institutions.

"Overall, the findings show that both faculty members and students rely on personal efforts to access information, and institutional structures are not yet sufficiently effective in supporting this process."

Discussion¶

Related Claims¶

• Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
• Institutions have expanded student access to generative AI tools faster than they have developed policies, guidance, and shared learning goals for their use — related
• Faculty perceptions of student ethical inadequacy contradict students' own acceptance of ethical responsibility, with both groups showing pragmatic conscious acceptance of AI — related
• Faculty members and students identify both user-related and algorithm-related ethical risks in AI use in education — related
• A multi-source study identifies eight key areas of ethical consideration regarding teachers' use of AI for student feedback — related
• Faculty observed that students engage shallowly with AI-generated content without structure, concluding productive use must be modeled — related