Digital cloning
Artificial intelligence technology
Digital cloning is an emerging technology, that involves deep-learning algorithms, which allows one to manipulate currently existing audio, photos, and videos that are hyper-realistic. One of the impacts of such technology is that hyper-realistic videos and photos makes it difficult for the human eye to distinguish what is real and what is fake. Furthermore, with various companies making such technologies available to the public, they can bring various benefits as well as potential legal and ethical concerns.
Digital cloning can be categorized into audio-visual (AV), memory, personality, and consumer behaviour cloning. In AV cloning, the creation of a cloned digital version of the digital or non-digital original can be used, for example, to create a fake image, an avatar, or a fake video or audio of a person that cannot be easily differentiated from the real person it is purported to represent. A memory and personality clone like a mindclone is essentially a digital copy of a person's mind. A consumer behavior clone is a profile or cluster of customers based on demographics.
Truby and Brown coined the term "digital thought clone" to refer to the evolution of digital cloning into a more advanced personalized digital clone that consists of "a replica of all known data and behavior on a specific living person, recording in real-time their choices, preferences, behavioral trends, and decision making processes."
Digital cloning first became popular in the entertainment industry. The idea of digital clones originated from movie companies creating virtual actors of actors who have died. When actors die during a movie production, a digital clone of the actor can be synthesized using past footage, photos, and voice recordings to mimic the real person in order to continue the movie production.
This brief starts where responsible research should: with the source description of “Digital cloning” as artificial intelligence technology. Everything that follows is an evidence route, not borrowed authority.
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The subject matters to the science & nature register because the source frames it as artificial intelligence technology. Its deeper value depends on whether names, dates, institutions and citations support that framing.
The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Jun 22, 2026. The linked authority identifier is Q65065517. None of the 0 selected statements returned an explicit reference.
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This entry incorporates text from “Digital cloning” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.