Discussion: Curricular Reform and AI Literacy as Sustainable Alternatives
The adoption of algorithmic detection mechanisms in British higher education is frequently defended as a necessary safeguard for assessment security, yet this approach fundamentally misunderstands the ethical dimensions of academic integrity [1]. Proponents maintain that automated screening provides a pragmatic deterrent against non-transparent text generation, ostensibly preserving institutional standards. Nevertheless, deploying automated surveillance creates an adversarial learning environment that directly contradicts constructivist pedagogical values [2]. Algorithmic scrutiny inherently shifts the educational focus from authentic engagement to defensive compliance, alienating students and eroding relational trust between learners and educators. Furthermore, relying on automated tools perpetuates ethical risks, including systemic bias against diverse writing styles and the amplification of the digital divide across student demographics [2]. Instead of attempting to enforce compliance through opaque computational filters, universities must direct institutional attention towards establishing transparent policy frameworks and reforming assessment design [1]. Authentic integrity is sustained through critical literacy, collaborative evaluation, and authentic learning tasks rather than through algorithmic policing.