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 process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements.
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.
Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies.
The Principle of Disclosure is an information architecture guideline that promotes revealing information progressively as users need it.
A team responsible for delivering specific features or enhancements, typically working on predefined requirements and focusing on the implementation of assigned features.
A visual tool that maps out opportunities and the corresponding solutions, helping teams identify and prioritize where to focus their efforts.
Customer Experience (CX) is the overall perception and feeling a customer has when interacting with a company, its products, or services.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.