Trusting AI to detect AI? A systematic evaluation of the reliability and robustness of current AIGC detection tools for student academic work
The explosive proliferation of Generative Artificial Intelligence (GenAI) has posed an unprecedented existential challenge to traditional evaluation systems in higher education. In response to this wave, the higher education sector is undergoing a profound transformation, shifting from a focus on technological containment toward an assessment governance paradigm. Understanding the characteristics of detectors is the foundational prerequisite for utilizing such tools to optimize educational asses
