The theme of Zoomtopia 2024 was “an AI-first work platform for human connection,” with the release of the custom Zoom AI Companion 2.0 for Zoom Workplace, an AI assistant that costs $12 per month that starting next year will have the ability to create custom AI avatars. Initially available for short video presentations to share with internal teams, the eventual goal is to have a “digital twin” that can participate in meetings and calls. The avatars will “save time and production costs” with segments that work with Zoom Clips for internal circulation in brief messages to colleagues. Continue reading Zoom Updates Its AI Assistant and Previews Custom Avatars

Adobe is introducing a free, web-based Content Authenticity app that lets creators “sign” their work with the aim of protecting rights and controlling attribution against unwanted AI attention. It allows creators to assign “do not train” tags to images, video or audio. Batch designation is another convenience those with voluminous output will appreciate as a time saver. Users can select the Generative AI Training and Usage Preference options in the Adobe Content Authenticity app to set preferences, whether or not the work was created using Adobe Creative Cloud apps. Continue reading Free Adobe Content Authenticity Web App Shields Against AI

YouTube is introducing AI detection tools designed to allow people to learn when their face and/or voice are copied and used in third-party videos. As part of the effort, YouTube’s existing Content ID program that protects copyrighted music will expand to include more broad-based voice simulation detection technology. The new tools aim to protect “people from a variety of industries — from creators and actors to musicians and athletes,” according to the company. The Google-owned platform is also coming up with a way to address unauthorized use of its content for training AI models. Continue reading YouTube Adding Tools to Protect Against Unauthorized AI Use

Adobe, OpenAI and Microsoft are among the major firms backing a California bill that would require tech companies to label AI-generated content with watermarks embedded in the metadata. Such data is easily accessible via browser for material circulated on the Internet, and the initiative would likely involve a campaign to educate the general public on how to find it. The proposed law encompasses video and audio as well as images. The three companies currently supporting the bill initially opposed it, using terms like “unworkable” and “overly burdensome.” Continue reading Bill Mandating GenAI Watermarks Gains Support in California

The Senate has introduced a bill that takes on tamping down deepfakes while also protecting creative content from use for AI model training. The Content Origin Protection and Integrity from Edited and Deepfaked Media Act, to be known as the COPIED Act, seeks to enact safeguards to protect journalists, actors, songwriters and other artists “against AI-driven theft,” while establishing new federal transparency guidelines for marking, authenticating and detecting AI-generated content. Emphasizing accountability, the bill stipulates that those found in violation will be subject to legal action. Continue reading COPIED Act Seeks to Protect from Deepfakes, Training Abuse

Meta Platforms is publicly releasing five new AI models from its Fundamental AI Research (FAIR) team, which has been experimenting with artificial intelligence since 2013. These models including image-to-text, text-to-music generation, and multi-token prediction tools. Meta is introducing a new technique called AudioSeal, an audio watermarking technique designed for the localized detection of AI-generated speech. “AudioSeal makes it possible to pinpoint AI-generated segments within a longer audio snippet,” according to Meta. The feature is timely in light of concern about potential misinformation surrounding the fall presidential election. Continue reading Meta’s FAIR Team Announces a New Collection of AI Models

OpenAI has updated the editor for DALL-E, the artificial intelligence image generator that is part of the ChatGPT premium tiers. The update, based on the DALL-E 3 model, makes it easier for users to adjust their generated images. Shortly after DALL-E 3’s September debut, OpenAI integrated it into ChatGPT, enabling paid subscribers to generate images from text or image prompts. The new DALL-E editor interface lets users edit images “by selecting an area of the image to edit and describing your changes in chat” without using the selection tool. Desired changes can also be prompted “in the conversation panel,” according to OpenAI. Continue reading OpenAI Integrates New Image Editor for DALL-E into ChatGPT

Amazon is debuting its Titan Image Generator in preview for AWS Bedrock customers. The new Titan generative AI model can create new images from a text prompt or existing image, and automatically adds watermarking to protect intellectual property. The move into generative imaging puts Amazon in competition with a growing field that includes large firms like Adobe and Google. Unlike those companies and others, the e-retail giant is at present focusing exclusively on enterprise customers. Amazon Bedrock is a managed service giving developers access to a range of foundation models from companies including Meta Platforms, Anthropic, and Amazon itself. Continue reading Amazon Previews Titan Image Generator for Bedrock Clients

OpenAI is developing an AI tool that can identify images created by artificial intelligence — specifically those made in whole or part by its Dall-E 3 image generator. Calling it a “provenance classifier,” company CTO Mira Murati began publicly discussing the detection app last week but said not to expect it in general release anytime soon. This, despite Murati’s claim it is “almost 99 percent reliable.” That is still not good enough for OpenAI, which knows there is much at stake when the public perception of artists’ work can be impacted by a filter applied by AI, which is notoriously capricious. Continue reading OpenAI Developing ‘Provenance Classifier’ for GenAI Images

Google DeepMind and Google Cloud have teamed to launch what they claim is an indelible AI watermark tool, which if it works would mark an industry first. Called SynthID, the technique for identifying AI-generated images is being launched in beta. The technology embeds its digital watermark “directly into the pixels of an image, making it imperceptible to the human eye, but detectable for identification,” according to DeepMind. SynthID is being released to a limited number of Google’s Vertex AI customers using Imagen, a Google AI language model that generates photorealistic images. Continue reading Google Introduces an AI Watermark That Cannot Be Removed

Google-backed AI startup Runway has released Gen-2, an early entry among commercially available text-to-video models. Previously waitlisted in limited release, the commercial availability is impactful, since text-to-video is predicted as the next big bump in artificial intelligence, following the explosion of AI use generating text and images. While Runway’s solution may not be ready to serve as a professional video tool, this is the next step in development of tech expected to impact media and entertainment. Filmmaker Joe Russo recently predicted that within the next two years, AI may have the ability to create feature films. Continue reading Runway Makes Next Advance in Consumer Text-to-Video AI

A new artificial intelligence service offering free watermark removal from photographs is causing worry among copyright holders. Photographers took to Twitter to complain about this threat to their livelihoods while the creative community at large pondered the broader implications for AI infringement on intellectual property rights — a central aspect of discussions involving ChatGPT, which was trained using privately held as well as public domain data. Available to download as an app from sites including Product Hunt and the Google Play Store, the WatermarkRemover.io app itself is legal, while some of its potential uses are not. Continue reading Watermark-Erasing AI Worries Photographers, Other Creatives

IBM now has a patent-pending, machine learning enabled watermarking process that promises to stop intellectual property theft. IBM manager of cognitive cybersecurity intelligence Marc Ph. Stoecklin described how the process embeds unique identifiers into neural networks to create “nearly imperceptible” watermarks. The process, recently highlighted at the ACM Asia Conference on Computer and Communications Security (ASIACCS) 2018 in Korea, might be productized soon, either within IBM or as a product for its clients. Continue reading IBM Creates Machine-Learning Aided Watermarking Process

Pirates have reportedly found a workaround for 4K copy protection on Netflix, as an Ultra HD copy of the first episode of “Breaking Bad” is making the rounds on torrent sites. While 4K content for television and PCs may still be in its early stages, some analysts anticipate increased leaks in the future. Netflix and Amazon are among the first streaming services to offer 4K content, although most consumers do not own 4K TVs yet. Streaming has strong protection, and until the recent leak, High-Bandwidth Digital Copy Protection (HDCP) was generally believed to be unbreakable. Continue reading Streamed 4K Video from Netflix Being Leaked to Torrent Sites

Shred Video, a startup out of Y Combinator, now offers an easy way to turn hours of GoPro video into a 90-second clip with music. Users simply match GoPro footage with songs from their iTunes library, and Shred Video does the rest. The new app identifies moments of action from any acceleration-based sport (think surfing, skateboarding, snowboarding) and highlights video with the beat-drop of the song. Not to be outdone, GoPro plans to release its own mobile editing software by the end of summer. Continue reading Shred Video Debuts GoPro Editing, GoPro’s Version to Follow