AI Transparency
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
The Principle of Disclosure is an information architecture guideline that promotes revealing information progressively as users need it.
A visual tool that maps out opportunities and the corresponding solutions, helping teams identify and prioritize where to focus their efforts.
Must have, Should have, Could have, and Won't have (MoSCoW) is a method used to prioritize features or tasks.
Above the Line (ATL) refers to marketing activities carried out at a macro level to reach a large audience through mass media such as TV, radio, and print ads.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements.
Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.