GENAI DETECTION TOOLS, ADVERSARIAL TECHNIQUES AND IMPLICATIONS FOR INCLUSIVITY IN HIGHER EDUCATION

This paper “GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education” reveals that GenAI detection tools have significant limitations and are not reliable in detecting machine-generated content. The low accuracy rates and the potential for false accusations raise concerns about fairness, inclusivity, and the negative impact on certain groups such as non-native English

Testing of Detection Tools for AI‑Generated Text

The article discusses the potential risks associated with the unfair use of AI-generated content in an academic environment and the efforts to detect such content. The authors examine the functionality of various detection tools for AI-generated text and evaluate their accuracy and error types. The study aims to determine if existing detection tools can effectively