In authors or contributors

3 resources

  • Iason Gabriel, Arianna Manzini, Geoff Ke...
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    Apr 28th, 2024
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    preprint
    Iason Gabriel, Arianna Manzini, Geoff Ke...
    Apr 28th, 2024

    This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of actions on behalf of a user, across one or more domains, in line with the user's expectations. The paper starts by considering the technology itself, providing an overview of AI assistants, their technical foundations and potential range of...

  • Rishi Bommasani, Drew A. Hudson, Ehsan A...
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    Dec 15th, 2021
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    journalArticle
    Rishi Bommasani, Drew A. Hudson, Ehsan A...
    Dec 15th, 2021

    AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We call these models foundation models to underscore their critically central yet incomplete character. This report provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical...

  • Rishi Bommasani, Drew A. Hudson, Ehsan A...
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    Jul 12th, 2022
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    preprint
    Rishi Bommasani, Drew A. Hudson, Ehsan A...
    Jul 12th, 2022

    AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We call these models foundation models to underscore their critically central yet incomplete character. This report provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical...

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