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Aug 6, 2024 · Black box AI refers to AI systems whose internal workings and decision-making processes are not transparent. Learn how black box AI models work, why they are used and what issues they pose for users and developers.
- Ellen Glover
- Senior Staff Reporter
1 day ago · 4. Explainable AI (XAI) In response to the challenges faced by black box AI models, the area of research called XAI (explainable AI) emerged, changing the landscape of machine learning completely. Researchers are trying to construct interpretable, transparent, and predictive AI models with the help of XAI. Technicians are also working on ...
Aug 24, 2023 · This article surveys the state-of-the-art of interpreting black-box models, also known as explainable artificial intelligence (XAI), in various domains. It covers the definitions, objectives, methods, evaluation metrics, and challenges of XAI, as well as its applications and limitations.
Aug 9, 2017 · Researchers are investigating a number of options in their search for solutions. One approach—called model induction, or the “observer approach”—treats an AI system like a black box.
Jun 14, 2023 · Often referred to as the “black box problem”, deep learning models make accurate predictions without providing explicit explanations for their decision-making process. This lack of...
