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 effectivelyContinue reading “Testing of Detection Tools for AI‑Generated Text”

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