
AI Principles - Google AI
A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.
Building on our previous eforts, this paper describes our AI Responsibility Lifecycle: a four-phase process (Research, Design, Govern, Share) that guides responsible AI development at …
Google AI - How we're making AI helpful for everyone
The Last Analog Man: Everyone has uploaded their consciousness to a perfect, interconnected digital utopia called "The Stream." One man, an elderly clockmaker, is the last person on Earth …
information from our latest research and practice on AI safety and responsibility topics. It details our methods for governing, mapping, measuring, and managing AI risks aligned to the NIST …
Our views on AI policy - Google AI
Google’s AI policy perspectives and priorities, and how we’re working alongside partners to make AI helpful for everyone.
Introduction Scientific progress is puting the challenges and complexity of the world’s problems into starker relief. Fortunately, it is also yielding new technological tools to help us in tackling …
Experience AI in our products and experimental tools
How anyone can experience the AI in Google products and services, and discover the latest experimental AI tools and technology.
Quantum compu ters us e quantum physics to acce ss dierent compu tat ional abilit ie s from t hos e of classical compu ters. Due to a prope y known as superposit ion, quantum bit s (qubit s) …
Generative AI is a type of machine learning (ML) model that can take what it has learned from the examples it has been provided to create new content, such as text, images, music, and code. …