Artificial Intelligence
Scientists Say: Deepfake
Seeing should no longer mean believing, now that AI tech makes creating fake videos, audio and images easier than ever.
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Seeing should no longer mean believing, now that AI tech makes creating fake videos, audio and images easier than ever.
New bots are emerging all the time that can create — at your direction — images, computer code, articles, ads, songs and more.
John Hopfield and Geoffrey Hinton used brain-like networks based on principles of physics to jump-start machine learning.
Nerida Wilson uses artificial intelligence to identify seadragons in photos taken by citizen scientists.
A liquid neural network mimics how neurons interact in the brain of a worm. This type of AI can better adapt to new situations.
A technique from astronomy could help detect deepfakes by spotting unrealistic reflections in the eyes of AI-generated images.
Being controlled by reinforcement learning — a type of AI — helps robots navigate tough terrain. This could bring computer smarts to the real world.
With AI image generators on the scene, artists see both power and peril ahead.
The racism, sexism, ableism and other biases common in bot-made images may lead to harm and discrimination in the real world.
Experts worry that by making it harder to tell what’s true, AI can threaten people’s reputations, health, fair elections and more.