Discussion: Institutional Adaptation and Assessment Redesign
The intersection of algorithmic evaluation tools and institutional governance under the European Union AI Act reveals profound structural tensions within university assessment practices. Automated systems deployed to evaluate cognitive outputs or flag anomalous textual features frequently encounter critical reliability thresholds, creating substantial risks of misclassification [1]. When academic departments rely on algorithmic detection mechanisms to enforce integrity policies, they confront the reality that linguistic mimicry by advanced models easily evades standard screening measures while generating plausible academic discourse [2]. In the context of German higher education, where decentralized examination boards uphold strict procedural fairness guarantees, unsubstantiated technical determinations cannot satisfy the evidentiary standards required for disciplinary actions. Consequently, regulatory compliance mandates that institutions shift their reliance away from post-hoc technical policing toward robust structural assessment redesign. This transition involves authentic, process-oriented examination formats that minimize the viability of outsourced cognition while ensuring transparent institutional oversight aligned with high-risk AI regulatory directives.