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  2. OpenAI launches tool to catch AI-generated text

    www.aol.com/news/openai-launches-tool-catch-ai...

    OpenAI, the startup that created the text generator ChatGPT, launched a tool on Tuesday to identify text generated by artificial intelligence.

  3. Artificial intelligence content detection - Wikipedia

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

    Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    In March 2020, 15.ai, created by an anonymous MIT researcher, was a free web application that could generate convincing character voices using minimal training data. [42] The platform is credited as the first mainstream service to popularize AI voice cloning ( audio deepfakes ) in memes and content creation , influencing subsequent developments ...

  5. Teachers are using AI to grade essays. But some experts are ...

    www.aol.com/teachers-using-ai-grade-essays...

    The emergence of AI is reshaping education, presenting real benefits, such as automating some tasks to free up time for more personalized instruction, but also some big hazards, from issues around ...

  6. Automated essay scoring - Wikipedia

    en.wikipedia.org/wiki/Automated_essay_scoring

    The same model is then applied to calculate scores of new essays. Recently, one such mathematical model was created by Isaac Persing and Vincent Ng. [22] which not only evaluates essays on the above features, but also on their argument strength. It evaluates various features of the essay, such as the agreement level of the author and reasons ...

  7. Natural language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural_language_understanding

    NLU has been considered an AI-hard problem. [2] There is considerable commercial interest in the field because of its application to automated reasoning, [3] machine translation, [4] question answering, [5] news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis.

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