When artificial intelligence is combined with a person's digital footprint, which of the following algorithms could create a significant risk?
Generative adversarial networks (GANs) consist of two competing neural networks—a generator and a discriminator—that work together to produce highly realistic synthetic media, such as fake images, audio, or video. When fed data from a person's digital footprint (photos, voice recordings, social media posts, etc.), GANs can be used to create convincing deepfakes or impersonations, enabling identity theft, disinformation campaigns, fraud, or social engineering attacks. This makes GANs a specifically named AI risk in security literature, unlike cryptoeconomics (a blockchain incentive-design discipline) or Watson (IBM's AI platform brand, not an algorithm type).
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