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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. 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 ...

4. 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 ...

5. 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 ...

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 capability control - Wikipedia

   en.wikipedia.org/wiki/AI_capability_control

   AI capability control. In the field of artificial intelligence (AI) design, AI capability control proposals, also referred to as AI confinement, aim to increase our ability to monitor and control the behavior of AI systems, including proposed artificial general intelligences (AGIs), in order to reduce the danger they might pose if misaligned.