Coauthorship integrity: Reconceptualising assessment validity for the age of generative artificial intelligence

Synthesis: This paper addresses concerns that students use GenAI to submit texts they do not understand, adopting an assessment validity lens. It proposes Coauthorship Integrity as a new conceptual source of validity evidence—violated when students submit AI-generated content they do not understand. The paper reports progress on an "AI Viva," a conversational agent engaging students in hybrid viva voce with comprehension questions of controllable type and complexity.

Key Findings

This paper addresses concerns that students use GenAI to submit texts they do not understand, adopting an assessment validity lens. It proposes Coauthorship Integrity as a new conceptual source of validity evidence—violated when students submit AI-generated content they do not understand. The paper reports progress on an "AI Viva," a conversational agent engaging students in hybrid viva voce with comprehension questions of controllable type and complexity. Contributions are threefold: conceptual (Coauthorship Integrity), technical (LLM-generated questions of controllable difficulty), and empirical (preliminary expert evaluation).

Connected Concepts

Generative AI

Academic Integrity

Agentic AI

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Citation

Ebrahimzadeh, M., Shibani, A., & Shum, S. B. (2026). Coauthorship integrity: Reconceptualising assessment validity for the age of generative artificial intelligence. Computers and Education: Artificial Intelligence.