Recent studies reveal that widely used AI detection tools like Turnitin and Originality struggle with accuracy, particularly on hybrid human-AI texts and scientific writing. While these tools can ...
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In September of 2019, Facebook launched its Deepfake Detection Challenge (DFDC) -- a public contest to develop autonomous algorithmic detection systems to combat the emerging threat of deepfake videos ...
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New tools challenge accuracy of AI content detection
AI detectors, widely used in education and publishing, analyze text features like perplexity and burstiness to estimate AI authorship, but often produce inconsistent results and false positives.
With the initiation of the Deepfake Detection Challenge, Facebook, Microsoft, MIT, Oxford, UC Berkeley, and others join hands in figuring out new ways to contain the spread of deepfakes. Advancements ...
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