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  2. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    Explainable AI ( XAI ), often overlapping with interpretable AI, or explainable machine learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [1] [2] The main focus is usually on the reasoning behind the decisions ...

  3. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.

  4. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/LLaMa_(language_model)

    Llama (acronym for Large Language Model Meta AI, and formerly stylized as LLaMA) is a family of autoregressive large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3, released in April 2024.

  5. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    Former headquarters at the Pioneer Building in San Francisco. In December 2015, OpenAI was founded by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. $1 billion in total was ...

  6. Right to explanation - Wikipedia

    en.wikipedia.org/wiki/Right_to_explanation

    The field of Explainable AI seeks to provide better explanations from existing algorithms, and algorithms that are more easily explainable, but it is a young and active field. [13] [14] Others argue that the difficulties with explainability are due to its overly narrow focus on technical solutions rather than connecting the issue to the wider ...

  7. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    e. Machine learning ( ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions. [1] Recently, artificial neural networks have been able to surpass many previous approaches in ...

  8. Human–artificial intelligence collaboration - Wikipedia

    en.wikipedia.org/wiki/Human–artificial...

    Human-AI collaboration is the study of how humans and artificial intelligence (AI) agents work together to accomplish a shared goal. [1] AI systems can aid humans in everything from decision making tasks to art creation. [2] Examples of collaboration include medical decision making aids., [3] [4] hate speech detection, [5] and music generation. [6]

  9. Ethics of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Ethics_of_artificial...

    The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. [14] Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software. [15] Not all robots function through AI systems and not all AI systems are robots.