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Consumers can’t tell difference between human vs. AI videos

A survey of U.S. consumers shows that a majority of Americans are comfortable supporting government regulations that require labeling of content generated by artificial intelligence. The same consumers surveyed had difficulty distinguishing between AI-generated videos and human-created video content.

Americans responded to a HarrisX survey asking whether they would like “US lawmakers to require labeling of AI-generated content,” and a majority said they supported such an effort.

Consumers were asked about videos, photos, text, music, captions, sounds, and more that were created entirely by AI. variety report.

The strongest responses were for AI video and photo labeling, at 74% and 72%, respectively. Only 61% of respondents supported labeling AI-generated audio and captions. It represents the lowest amount of support in the survey.

While the majority of consumers supported mandatory labeling for all media types asked, a more concerning result was the task each respondent was given: whether the video was real or generated by AI. It was obtained by determining whether

Video-based research carried out Use OpenAI sky;Text to video AI generator.

Participants were shown a total of eight videos: four AI-generated videos and four human-generated videos. The majority of viewers correctly guessed the origin of the video only once for the artificial intelligence generation and once for the human-generated video.

An AI video showing a close-up of a person’s eyes was said to be unreal by 50% of respondents, while AI content showing panning footage of a town was correctly judged as fake by 56% of viewers. .

The human-made city video was the only footage that was correctly labeled as human-made, with 57% of viewers saying it was real.

The same survey respondents also revealed that they support government regulation with a view to protecting certain employment sectors from the effects of artificial intelligence.

In total, 76% said they would support the government introducing “strong regulations to protect jobs that could be impacted by Sora and AI.” Only 24% of respondents said that strong regulation stifles innovation and prevents new technologies from creating more jobs.

The survey of 1,082 U.S. adults was consistent across all demographics, with those aged 50 to 64 most likely to support regulation, and those aged 35 to 64 least likely to support it. At age 49, the rates were 81% and 71%, respectively.

Women were 6 percentage points more likely to support the bill than men.

Support for several other notable regulatory types was ranked highly by respondents. Among them are those who believe there should be liability provisions for companies responsible for outputting AI content (39%), those who believe there should be stricter privacy laws regarding the collection of user data (34%); (34%) believe that ethical standards should be strictly defined. Developed (33%).

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