From the course: Understanding Artificial Intelligence Concepts and Terminology with ISO/IEC 22989:2022

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AI data, information, knowledge, and learning (Clause 7-7.3)

AI data, information, knowledge, and learning (Clause 7-7.3)

From the course: Understanding Artificial Intelligence Concepts and Terminology with ISO/IEC 22989:2022

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AI data, information, knowledge, and learning (Clause 7-7.3)

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- In a previous video, I shared the distinction between AI data, knowledge and information. In this video, we will discuss how data, knowledge and learning affect AI systems output, which can include newly created material, predictions, recommendations, or decisions. As seen in the diagram, these outputs come from utilizing training data in a machine learning system composed of a model algorithm. The inputs that the model receives from training data are processed based on the training and the algorithm to produce those outputs. All this happens through the design, selection, and oversight of humans. Environmental production data can serve optimization purposes in the continuous learning loop. The knowledge that machine learning utilizes is machine readable. It comes in two forms, declarative and procedural. Declarative knowledge is the kind of knowledge you can state or declare. It's about facts, concepts or information that you can describe verbally or in writing. For example…

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