All articles tagged with #synthetic media
Meta's Muse AI now lets users generate realistic images from public Instagram photos—including those of celebrities—raising privacy and consent concerns over potential deepfake misuse.
YouTube is implementing a new requirement for content creators to disclose the use of AI-generated content in their videos, particularly when it involves realistic depictions of people, events, or places. This disclosure will trigger an "altered content" warning on videos. Google is aiming to address concerns about misleading AI content, and the labels will be rolled out across all YouTube platforms. Additionally, the company is working on a process for individuals depicted in AI-manipulated videos to request their removal.
YouTube is now requiring content creators to disclose the use of AI in their videos through a new labeling tool in Creator Studio, aimed at increasing transparency with viewers. The disclosure is mandatory for altered or synthetic media that could be mistaken for real, but not for clearly unrealistic or animated content. Failure to label AI-generated content may result in penalties, including removal of content or suspension from the YouTube Partner Program.
YouTube has introduced new rules requiring creators to label videos that feature realistic-looking content generated by AI, including altered or synthetic media. The platform defines realistic content as anything that could be easily mistaken for real. Creators must disclose the use of synthetic voices, altered footage of real events or places, and other significant edits. Failure to comply may result in penalties. The labels will start appearing on YouTube in the coming weeks, with more prominent labeling for sensitive topics. However, labels are not required for inconsequential changes or the use of generative AI for script creation or video ideas. YouTube is also working on a revamped takedown request process for altered content depicting real, identifiable individuals.
YouTube is now requiring creators to disclose when realistic content was made with AI, introducing a new tool in Creator Studio that will require disclosure when content that viewers could mistake for real was created with altered or synthetic media, including generative AI. The move aims to prevent viewers from being misled by synthetically-created videos, particularly as new generative AI tools make it harder to differentiate between real and fake content. The new policy targets videos using the likeness of realistic people or altering footage of real events or places, with labels appearing in the expanded description and on the video itself for sensitive topics like health or news. Enforcement measures may be considered for creators who consistently fail to use the required labels.
AI-generated images, ranging from obviously fake to compellingly real, have gone viral online, fooling some social media users. The rise of new AI tools has made it cheaper and easier than ever to create realistic images, audio, and videos, which threatens to further pollute the information ecosystem. There are concerns that AI-generated images could be used for harassment or to further drive divided internet users apart. Efforts are underway to improve transparency around when a piece of content is generated by a computer, including technical solutions such as watermarking and transparent labels in metadata. Lawmakers may need to get involved to regulate the use of AI-generated images.
Fake photos of Pope Francis wearing a puffer jacket went viral on social media, but they were actually generated by AI software. As deepfake technology becomes more widespread, AI developers are working on better ways to inform viewers of the authenticity of images. However, it is already difficult to determine whether some images are real or not, and there is concern that bad actors could use this technology to spread disinformation.
The founder of Bellingcat, Eliot Higgins, used an AI art generator to create fake images of Donald Trump being arrested, which were shared on Twitter and viewed nearly 5 million times. The incident highlights the increasing sophistication of AI-generated images, their potential to create confusion in volatile news environments, and the absence of corporate standards or government regulation addressing the use of AI to create and spread falsehoods. Policymakers have been warning for years about the potential misuse of synthetic media to spread disinformation, and developers should be held potentially liable if their product directly enables harms that are reasonably foreseeable.