Computer vision systems are now capable of surpassing the performance of human experts in fields like radiology and dermatology. Can they also help us discern real videos from deepfakes - videos manipulated by artificial intelligence? This presentation will provide an overview of the state-of-the-art machine-learning models for detecting deepfakes. It will also present evidence that reveals how most people are more accurate at spotting deepfakes than the best machine-learning models. We will examine results of a recent experiment suggesting that humanity's specialized ability for recognizing faces lies at the heart of our superior performance.
Speaker: Matthew Groh, MIT Media Lab
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