shallowfake

plural shallowfakes

1. neologismengineeringA misleading or slightly edited piece of media (such as a video clip or image) created using conventional methods, as opposed to AI deep learning algorithms.

   Hundreds of articles have focused on these and hypothetical deepfake scenarios and what they mean for the future of video and trust. But despite all this attention, shallowfakes — videos shared with misleading contexts or small edits — are far more widespread and easier to produce.

   2022 August 26, Sam Gregory, “Shallowfakes are rampant: Tools to spot them must be equally accessible”, in The Hill, Washington, D.C.: Nexstar Media Inc., →ISSN, →OCLC, archived from the original on 23 Mar 2023

   2 more examples

   The technology industry has a unique opportunity to tackle "deepfakes"—the problem of fake audio and video created using artificial intelligence—before they become a widespread problem, according to human rights campaigner Sam Gregory. ¶ But, he warns, major companies are still a very long way from tackling the pervasive and more damaging issue of cruder "shallowfake" misinformation.

   2019 March 25, Bobbie Johnson, “Deepfakes are solvable—but don't forget that "shallowfakes" are already pervasive”, in MIT Technology Review, Cambridge, M.A.: Massachusetts Institute of Technology, →ISSN, →OCLC, archived from the original on 04 Dec 2023

   Facebook last week banned deepfake videos that are likely to mislead viewers into thinking someone "said words that they did not actually say", in the run-up to the 2020 US election. However, the policy covers only misinformation produced using AI, meaning "shallowfakes" (see below) are still allowed on the platform.

   2020 January 13, Ian Sample, “What are deepfakes – and how can you spot them?”, in Katharine Viner, editor, The Guardian, London: Guardian News & Media, →ISSN, →OCLC, archived from the original on 25 Dec 2023