Integrating AI in CS assessment raises concerns about academic integrity, algorithmic bias, transparency, and ethical evaluation¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The integration of AI in assessment raises critical concerns related to academic integrity, algorithmic bias, transparency, and ethical implications of AI-driven evaluation. → Zhan 2026

Evidence¶

Zhan 2026¶

Zhan, S., & Chapman, E. (2026). Harnessing Generative Artificial Intelligence in Computer Science Education: Pedagogical Innovation, Ethical Responsibility, and the Future of Assessment. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/wakxak53

q2 · i? · theoretical · r2

The paper's critical review identifies that "the integration of AI also raises critical concerns related to academic integrity, algorithmic bias, transparency, and ethical implications of AI-driven evaluation." This is a literature-based critical assertion; no measured incidence of these problems is reported in the text available.

"the integration of AI also raises critical concerns related to academic integrity, algorithmic bias, transparency, and ethical implications of AI-driven evaluation."

Discussion¶

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