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  2. Black box - Wikipedia

    en.wikipedia.org/wiki/Black_box

    v. t. e. In science, computing, and engineering, a black box is a system which can be viewed in terms of its inputs and outputs (or transfer characteristics ), without any knowledge of its internal workings. Its implementation is "opaque" (black). The term can be used to refer to many inner workings, such as those of a transistor, an engine, an ...

  3. Clearview AI, one of the leading contractors for law enforcement, has scraped billions of publicly available social media posts of Americans’ faces to train its AI, for example.

  4. Black Box Corporation - Wikipedia

    en.wikipedia.org/wiki/Black_Box_Corporation

    Black Box Corporation. Black Box is an IT company headquartered in Texas, United States. [1] The company provides technology assistance and consulting services to businesses in a variety of sectors including retail, transportation, government, education, and public safety. Black Box operates in 75 locations across 35 countries.

  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. AI Outperforms Standard Risk Model in Predicting Breast Cancer

    www.webmd.com/breast-cancer/news/20230607/ai...

    This is the 'black box' of AI." The AI algorithms were particularly good at predicting whether a patient would have breast cancer within a year of getting a mammogram, the study showed.

  7. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. [1] A survey from May 2020 exposes the fact that practitioners report a dire need for better protecting machine learning systems in industrial applications. [2]

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