TRV-2026-0065Version 2 · Sources changed
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TRUVACE RECORD VERSION record: TRV-2026-0065 version: 2 kind: sources_changed reason: Source set updated timestamp: 2026-07-12T20:51:15.407274Z status: published lens: trace sector: climate headline: Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security dek: Harmful lies are nothing new. But the ability to distort reality has taken an exponential leap forward with “deep fake” technology. This capability makes it possible to create audio and video of real people saying and doing things they never said or did. Machine learning techniques are escalating the technology’s sophistication, making deep fakes ever more realistic and increasingly resistant to detection. Deep-fake technology has characteristics that enable rapid and widespread diffusion, putting it into the hands of both sophisticated and unsophisticated actors. While deep-fake technology will bring with it certain benefits, it also will introduce many harms. The marketplace of ideas already suffers from truth decay as our networked information environment interacts in toxic ways with our cognitive biases. Deep fakes will exacerbate this problem significantly. Individuals and busine… gain_reading: Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security: While deep-fake technology will bring with it certain benefits, it also will introduce many harms. problem_reading: Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security: Harmful lies are nothing new. While deep-fake technology will bring with it certain benefits, it also will introduce many harms. limitation: Historical evidence reading: the cited study may be limited by its design, population, period, or setting, and later research may report different effects. tag: Automated dual reading key_points: Harmful lies are nothing new. | But the ability to distort reality has taken an exponential leap forward with “deep fake” technology. | This capability makes it possible to create audio and video of real people saying and doing things they never said or did. rundown: Harmful lies are nothing new. But the ability to distort reality has taken an exponential leap forward with “deep fake” technology. This capability makes it possible to create audio and video of real people saying and doing things they never said or did. Machine learning techniques are escalating the technology’s sophistication, making deep fakes ever more realistic and increasingly resistant to detection. sources: - peer_reviewed | Digital Society | https://doi.org/10.1007/s44206-022-00010-6 | 2022-09-01 - peer_reviewed | SSRN Electronic Journal | https://doi.org/10.2139/ssrn.3213954 | 2018-01-01 prev: a2403ead874881f792b068e070060b166ac88c4aebeb4793d7ffe421e3e7d923
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