These models are trained on vast amounts of data and can produce coherent and contextually relevant content. However, this raises concerns about the originality and authenticity of the generated text. SafeAssign compares submissions against several databases, including a global reference database containing papers volunteered by students from multiple institutions. According to various educational blogs and experts, preparing SafeAssign to recognize AI-generated text is possible but complex. Efforts are being made to update detection algorithms to better identify AI-specific patterns.
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