YouTube has added new features to its apps for mobile, Web and TV, including expanded controls for playback speeds, badges, a miniplayer redesign, and the ability to create collaborative playlists. The company is also debuting an authenticity tool. By affixing a “captured with a camera” label, creators can indicate their work is shot with an actual camera, with unaltered visual and audio. Among the general platform improvements that YouTube implements annually, users can now share playlists via link or QR code, and create custom thumbnails for those lists, either by uploading an image or generating one with AI. Continue reading YouTube Expands Features and Adds an Authentication Tool

Launched two years ago, C2PA is an open-source Internet protocol that cryptographically encodes origin metadata into content. The protocol, a more secure form of watermarking, is being put forth as a way of disclosing when material has been created wholly or in part using artificial intelligence, something the White House has said it wants companies to do. Impending European Union regulations will also mandate that some tech platforms label images, audio, and video generated by artificial intelligence using “prominent markings.” More than 1,500 companies are involved with C2PA through the Content Authenticity Initiative, making it a viable solution. Continue reading Cryptographic C2PA Protocol Pursues Labeling of AI Content

Adobe released a beta version of a Photoshop tool that will make it easier to determine if an image is real or has been manipulated. The so-called attribution tool, which will first be tested with a select group of people, enables photo editors to attach more detailed, secure metadata to images. In addition to including who created the image, the metadata will provide information on how it was altered and if AI tools were used to do so. Adobe said it will also be clear if the metadata has been tampered with. This could be a step toward combatting deepfakes. Continue reading Adobe Beta-Testing New Tool to Detect Manipulated Images

Google, in cooperation with its internal tech incubator Jigsaw, released a large number of deepfakes, which have been added to the FaceForensics benchmark run by the Technical University of Munich and the University of Naples Federico II. The deepfakes will be available for free to researchers developing detection techniques. Previously, Google released text-to-speech models as part of the AVspoof 2019 competition to develop systems to distinguish between real and computer-generated speech. Continue reading Google Offers Deepfakes for Researching Detection Methods