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 that the more a metric is used to make decisions, the more it will be subject to corruption and distort the processes it is intended to monitor.
Must have, Should have, Could have, and Won't have (MoSCoW) is a method used to prioritize features or tasks.
A decision-making tool that helps prioritize tasks or projects based on specific criteria, such as impact and effort.
Balanced Scorecard (BSC) is a strategic planning and management system used to align business activities to the vision and strategy of the organization.
A Service Level Agreement (SLA) is a formal contract between a service provider and a customer that defines the level of service expected.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions.
The Principle of Disclosure is an information architecture guideline that promotes revealing information progressively as users need it.
The simultaneous pursuit of differentiation and low cost, creating a leap in value for both the company and its customers, often associated with Blue Ocean Strategy.