TikTok Adding Labels to AI-Generated Content Created on Other Platforms
- Written by Shipra Sanganeria Cybersecurity & Tech Writer
- Fact-Checked by
Last week, TikTok introduced automatic labeling for AI-generated content (AIGC), even if it was originally created on another platform. As stated in the May 9 announcement , this move is an effort to boost transparency and literacy around AI for both content creators and viewers.
Last year, TikTok introduced AI-generated tags , which are superimposed onto any content created or enhanced through its own AI effects. By expanding this system to both TikTok-made content and content from other platforms, TikTok is taking the lead in creating an industry-wide standard for responsible AIGC content labeling.
“Our users and our creators are so excited about AI and what it can do for their creativity and their ability to connect with audiences,” Adam Presser, TikTok’s Head of Operations & Trust and Safety said in an interview with ABC News . “And at the same time, we want to make sure that people have that ability to understand what fact is and what is fiction.”
To help viewers discern fact from fiction, the company has partnered with the Coalition for Content Provenance and Authenticity (C2PA) — an open technology standard that provides various tools and resources to identify AIGC.
TikTok will be applying C2PA’s Content Credentials technology that attaches metadata to any AI-generated content. Presently, the digital watermark will be applied to images and videos but will soon be rolled out for audio-only content as well.
In the last few months, other tech companies have also announced similar measures to ensure transparency around AI-generated content. Google introduced a similar labeling policy on its YouTube platform in March, while in February Meta said it would be labeling AI-generated content on Facebook, Threads, and Instagram.
Along with the new tools, TikTok will also create informational videos and other resources dedicated to helping people identify misinformation online and enhancing their media literacy skills. It will also join the Adobe-led Content Authenticity Initiative (CAI) to promote the adoption of Content Credentials across social media platforms.
“With TikTok’s vast community of creators and users globally, we are thrilled to welcome them to both the C2PA and CAI.” Dana Rao, Adobe’s General Counsel and Chief Trust Officer said in the announcement. “At a time when any digital content can be altered, it is essential to provide ways for the public to discern what is true.”
Google And Harvard Experts Use AI To Create Groundbreaking Brain Images
- Written by Andrea Miliani Former Tech News Expert
Harvard neuroscientists and Google researchers worked together using artificial intelligence to create interactive 3D mappings of a small portion of the human brain—the size of half a grain of rice—and published never-before-seen images for the scientific community and the general public.
The research and the images were shared in a paper in Science on May 9 and have already helped scientists better understand brain structures. For example, one discovery is something called “axon whorls,” a cell structure that’s purpose is still unknown. The results are being analyzed and could be used by future researchers to understand the current mysteries of the brain.
According to the MIT Technology Review , the images created now represent “the highest-resolution picture of the human brain ever created.” The interactive mappings, data, and findings are available for free on the Neuroglancer platform.
The tiny portion of brain tissue—collected from a woman with epilepsy during surgery—contains around 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, and represents 1.4 petabytes of data.
To use all the information possible, the scientists cut the 3 mm-long piece of the healthy brain into 5,000 slices, scanned them with an electron microscope, and created digital images. Later, Google’s machine-learning experts virtually linked the images to create interactive 3D views.
According to The Guardian , Jeff Lichtman, a professor of molecular and cellular biology at Harvard and part of the research team, explained that “the reason we haven’t done it before is that it is damn challenging. It really was enormously hard to do this.”
Scientists expect to continue working with Google in the future to reconstruct similar digital maps of a mouse brain since reconstructing an entire human brain would be extremely difficult. According to Google , the new findings and future research could help experts understand diseases like Alzheimer’s and neurological disorders like autism or better understand how memories are created in our brains.
