AI-related guilt decreases with career stage, with early-career academics reporting the highest guilt¶

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i2 medium
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i2 One-way ANOVA showed guilt differed across career stages, F(3, 99) = 2.78, p = .045, η² = 0.078, with early-career academics highest (M = 2.71) and senior academics lowest (M = 2.03); the linear trend test was significant (p = .012). → Diane Vassallo 2026

Evidence¶

Diane Vassallo 2026¶

Diane Vassallo. (2026). The AI Guilt Complex: Moral Emotions and Ethical Dilemmas in Academic Technology Adoption. Journal of Academic Ethics (2026) 24:53. https://doi.org/10.1007/s10805-026-09726-3

q2 · i2 · associational · r1

Career-stage ANOVA in the 109-respondent survey revealed "significant differences in guilt levels across career stages" with a small-to-medium effect (η² = 0.078). Post-hoc Tukey HSD showed the primary difference between early-career and senior academics (mean difference = 0.68, p = .037).

"One-way ANOV A revealed significant differences in guilt levels across career stages, F(3, 99) = 2.78, p =.045, η² = 0.078, indicating a small to medium effect size."

Discussion¶

Related Claims¶

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