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  2. Regulation of AI in the United States - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_AI_in_the...

    Discussions on regulation of artificial intelligence in the United States have included topics such as the timeliness of regulating AI, the nature of the federal regulatory framework to govern and promote AI, including what agency should lead, the regulatory and governing powers of that agency, and how to update regulations in the face of rapidly changing technology, as well as the roles of ...

  3. 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.

  4. Regulation of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_artificial...

    v. t. e. Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. [1] [2] The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international ...

  5. 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 ...

  6. Tabnine - Wikipedia

    en.wikipedia.org/wiki/Tabnine

    Tabnine is an artificial intelligence (AI) coding assistant developed by Tabnine, which was founded by Dror Weiss and Professor Eran Yahav in Tel Aviv, Israel, in 2013. [1] [2] [3] Initially established under the name Codota, the company underwent a rebranding in May 2021 following the release of the company’s first large language model based ...

  7. Existential risk from artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Existential_risk_from...

    Duplicability: unlike human brains, AI software and models can be easily copied. Editability: the parameters and internal workings of an AI model can easily be modified, unlike the connections in a human brain. Memory sharing and learning: AIs may be able to learn from the experiences of other AIs in a manner more efficient than human learning.

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