As creators embrace artificial intelligence to juice creativity, TikTok is launching a tool that helps them label their AI-generated content while also beginning to test “ways to label AI-generated content automatically.” “AI enables incredible creative opportunities, but can potentially confuse or mislead viewers,” TikTok said in announcing labels that can apply to “any content that has been completely generated or significantly edited by AI,” including video, photographs, music and more. The platform also touted a policy that “requires people to label AI-generated content that contains realistic images, audio or video, in order to help viewers contextualize.” Continue reading TikTok Creates New Tools for Labeling Content Created by AI

Children’s programming has always been some of the most popular content on YouTube, generating billions of views since the platform launched in 2005. But the accompanying advertising and algorithm-driven recommendations proved problematic, sometimes serving material that parents deemed inappropriate. YouTube has taken various steps to address this, becoming in 2015 the first social platform to launch a children’s version of its main product. It later opted to have humans, not algorithms, make the content recommendations for kids, a costly trade-off that seems to have produced positive results. Continue reading YouTube Kids Finds Right Formula to Improve Video Content

Google has set its sights on combating fake news on the Internet, pledging to spend $300 million over the next three years in support of what The New York Times calls “authoritative journalism.” The Google News Initiative’s goals include making it easier for Googlers to subscribe to news and providing publishers with tools for fast-loading mobile pages. In partnership with Harvard Kennedy School’s First Draft initiative, Google will also create a “Disinfo Lab” to identify fake news, particularly during moments when it’s breaking.

Continue reading Google Pledges $300 Million in Effort to Clean Up Fake News