Researchers test detection methods for AI-generated content

Researchers test detection methods for AI-generated content


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Researchers test detection methods for AI-generated content
Is the news you’re reading online generated by a human or by artificial intelligence? College of Information Sciences and Technology researchers analyzed eight different state-of-the-art natural language generators (NLG) to identify whether each had a distinct writing style that could be discovered by machine classifiers in an effort to expose security threats they may introduce.
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Artificial intelligence generators can craft text that mimics a human author, improving the user experience in platforms such as medical chatbots, online customer service and virtual psychotherapy sessions.
Often times, these realistic texts are difficult to distinguish from those generated by humans. But as these techniques become more sophisticated and prevalent, so do the opportunities for fraudulent use.

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