Deepfakes: detection methods struggle to make limited progress
• Easily created and disseminated audio and audio-visual deepfakes, which can be mistaken for real recordings, are undermining confidence in online media.
• New research has highlighted the importance of enhancing current detection systems, which are far from infallible, with continuous learning and multi-modal artificial intelligence.
• Some progress has been made on the development of detectors, but extensive research will be required to make these tools, which are typically tested under laboratory conditions, function reliably under real conditions.
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• New research has highlighted the importance of enhancing current detection systems, which are far from infallible, with continuous learning and multi-modal artificial intelligence.
• Some progress has been made on the development of detectors, but extensive research will be required to make these tools, which are typically tested under laboratory conditions, function reliably under real conditions.
WeWaLK, .lumen: AI simplifies mobility for the blind and partially sighted
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Manipulation, mistrust and adoption: paradoxical responses to AI in companies
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