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  2. How AI risks creating a ‘black box’ at the heart of ... - AOL

    www.aol.com/news/ai-risks-creating-black-box...

    Researchers have found that facial recognition AI has concerning failure rates when handling images of Black Americans, especially Black women, either failing to identify a person at all or making ...

  3. 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 ...

  4. 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 ...

  5. 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.

  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. AI safety - Wikipedia

    en.wikipedia.org/wiki/AI_safety

    AI alignment is a subfield of AI safety, the study of how to build safe AI systems. Other subfields of AI safety include robustness, monitoring, and capability control . [105] Research challenges in alignment include instilling complex values in AI, developing honest AI, scalable oversight, auditing and interpreting AI models, and preventing ...

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