Popular text-to-image AI models can be prompted to ignore their safety filters and generate disturbing images. A group of researchers managed to get both Stability AI’s Stable Diffusion and OpenAI’s DALL-E 2’s text-to-image models to disregard their policies and create images of naked people, dismembered bodies, and other violent and sexual scenarios. Their work, which…
Posted by Kathy Meier-Hellstern, Building Responsible AI & Data Systems, Director, Google Research The Responsible AI and Human-Centered Technology (RAI-HCT) team within Google Research is committed to advancing the theory and practice of responsible human-centered AI through a lens of culturally-aware research, to meet the needs of billions of users today, and blaze the path…
AGI, or artificial general intelligence, is one of the hottest topics in tech today. It’s also one of the most controversial. A big part of the problem is that few people agree on what the term even means. Now a team of Google DeepMind researchers has put out a paper that cuts through the cross…
Personalized deep-learning models can enable artificial intelligence chatbots that adapt to understand a user’s accent or smart keyboards that continuously update to better predict the next word based on someone’s typing history. This customization requires constant fine-tuning of a machine-learning model with new data. Because smartphones and other edge devices lack the memory and computational…
With 3D inkjet printing systems, engineers can fabricate hybrid structures that have soft and rigid components, like robotic grippers that are strong enough to grasp heavy objects but soft enough to interact safely with humans. These multimaterial 3D printing systems utilize thousands of nozzles to deposit tiny droplets of resin, which are smoothed with a…
In San Francisco last week, everyone’s favorite surprise visitor was Microsoft CEO Satya Nadella. At OpenAI’s DevDay—the company’s first-ever event for developers building on its platform—Nadella bounded on stage to join OpenAI CEO Sam Altman, blowing the hair back on an already electrified audience. “You guys have built something magic,” he gushed. Two days later…
Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all provide varied and complementary information about…
The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so well, in fact, that they’ve become a problem. Students have begun using these models to ghostwrite assignments, leading some schools to ban ChatGPT. In addition, these models are also prone to producing text with factual…
This is not the first time that I’ve written about AI creativity, and I doubt that it will be the last. It’s a question that comes up repeatedly, and that is very much in the current mind, with events like the strikes by the Writers’ Guild of America and the Screen Actors Guild, in which…
This year the Earth has been hit by a record number of unpredictable extreme weather events made worse by climate change. Predicting them faster and with greater accuracy could enable us to prepare better for natural disasters and help save lives. A new AI model from Google DeepMind could make that easier. In research published…