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2. Artificial intelligence content detection - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Multiple AI detection tools have been demonstrated to be unreliable in terms of accurately and comprehensively detecting AI-generated text. In a study conducted by Weber-Wulff et al., and published in 2023, researchers evaluated 14 detection tools including Turnitin and GPT Zero, and found that "all scored below 80% of accuracy and only 5 over 70%."

3. Turnitin - Wikipedia

   en.wikipedia.org/wiki/Turnitin

   Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...

4. Content similarity detection - Wikipedia

   en.wikipedia.org/wiki/Content_similarity_detection

   A study was conducted to test the effectiveness of similarity detection software in a higher education setting. One part of the study assigned one group of students to write a paper. These students were first educated about plagiarism and informed that their work was to be run through a content similarity detection system.

5. Teachers, students test out AI in Colorado classrooms

   www.aol.com/teachers-students-test-ai-colorado...

   Generative AI analyzes huge amounts of data to generate text, images, videos, and other kinds of content. For the moment, many teachers and students are approaching AI more as a toe-dipping ...

6. ChatGPT in education - Wikipedia

   en.wikipedia.org/wiki/ChatGPT_in_education

   Some companies have responded to the influx of ChatGPT and generative AI among students by developing detection software which flags down essays likely written by AI. Among the first companies to develop solutions like this was Turnitin , which developed a tool to detect AI-based academic dishonesty.

7. Algorithmic bias - Wikipedia

   en.wikipedia.org/wiki/Algorithmic_bias

   Using machine learning to detect bias is called, "conducting an AI audit", where the "auditor" is an algorithm that goes through the AI model and the training data to identify biases. [166] Ensuring that an AI tool such as a classifier is free from bias is more difficult than just removing the sensitive information from its input signals ...