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  1. 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 …

  2. 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 …

  3. 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 …

  4. 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 …

  5. 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.

  6. Myth: AI, machine learning, and deep learning are all the same thing While artificial intelligence (AI) is a convenient and commonplace term, it has no widely agreed-upon technical definition. …

  7. 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. …

  8. 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) …