Faculty perceptions of student ethical inadequacy contradict students' own acceptance of ethical responsibility, with both groups showing pragmatic conscious acceptance of AI¶

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 · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Faculty members' characterization of students as ethically inadequate and prone to taking the easy way out contradicts students' own expressed acceptance of ethical responsibility. → Buket Bilgiç and Demet Sever 2026 q2 i? Both groups pragmatically accept AI while aware of its risks, an attitude the authors note could normalize unethical behavior. → 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 interview findings across the two stakeholder groups. Faculty interviews yielded sub-themes of ethical inadequacy and unquestioning use among students, while students expressed acceptance of ethical responsibility; the article presents these as contradictory perspectives.

"the "ethical inadequacy" and "tendency to choose the easy way out" expressed by faculty members regarding students' approaches contradict the "acceptance of ethical respon -sibility" expressed by students regarding their own approaches"

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

Authors' interpretation of the interview data: both faculty and students acknowledged risks yet pragmatically embraced AI. The article links this attitude to differing user profiles in prior literature and its "potential to normalize unethical behavior".

"In addition to this contradiction, the fact that both groups embrace AI with a pragmatic "conscious acceptance" while being aware of the risks further complicates the situation."

Discussion¶

Related Claims¶

• Ethical risk management of AI in education proceeds bottom-up through individual faculty guidance and student self-strategies because institutional support is lacking — related
• Students rate ethical awareness and responsible use highest and academic integrity lowest, with responsibility for defending ethical appropriateness the lowest-rated item — related
• Faculty members and students identify both user-related and algorithm-related ethical risks in AI use in education — related
• Faculty members reported greater ethical-boundary strictness about GenAI than students, the only group difference surviving Bonferroni adjustment — related
• A pronounced AI adaptation gap exists across university groups: students report higher current AI-use intensity and perceived usefulness than faculty and administrative staff, whereas staff report stronger academic integrity concerns and greater endorsement of responsible-use norms — related
• Faculty members rate equality, inclusiveness, and justice highest and institutional support lowest, with adequacy of institutional guidelines the lowest-rated item — related