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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. Trustworthy AI - Wikipedia

    en.wikipedia.org/wiki/Trustworthy_AI

    Trustworthy AI is also a work programme of the International Telecommunication Union, an agency of the United Nations, initiated under its AI for Good programme. Its origin lies with the ITU-WHO Focus Group on Artificial Intelligence for Health , where strong need for privacy at the same time as the need for analytics, created a demand for a ...

  4. Artificial intelligence in industry - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...

  5. AI and ethics: Business leaders know it’s important, but ...

    www.aol.com/finance/ai-ethics-business-leaders...

    “A clinician that is working with an AI system will need to clearly understand how it is working, what it is built for, and how they use AI to improve the quality of health care service and ...

  6. Ethics of artificial intelligence - Wikipedia

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

    This has led to advocacy and in some jurisdictions legal requirements for explainable artificial intelligence. Explainable artificial intelligence encompasses both explainability and interpretability, with explainability relating to summarizing neural network behavior and building user confidence, while interpretability is defined as the ...

  7. Artificial intelligence marketing - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence marketing ( AIM) is a form of marketing that uses artificial intelligence concepts and models such as machine learning, Natural process Languages, and Bayesian Networks to achieve marketing goals. The main difference between AIM and traditional forms of marketing resides in the reasoning, which is performed by a computer ...

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