What Is A Predictive Model? The Simple Definition A type of model that predicts an outcome. For example, a model that evaluates a person’s loan application would look to predict whether the applicant will pay the loan back or not. The Technical Definition Of A...
A bias audit is a review process to check if an AI system’s decisions or predictions are unfairly favoring or discriminating against specific groups based on factors like race or gender. The type and nature of the bias will depend on the context of the model and how it is used.
What Is Human-in-the-Loop (HITL)? The Simple Definition A practice that ensures human oversight of an automated system. With human oversight, the observer can pause or adjust the model if the risks it poses are unacceptable. The Technical Definition Of...
We decode the definition of a predictive model in plain english. Whether you’re new to the concept or seeking a deeper grasp of its technical aspects, you’ll find it here.
We decode the definition of jobs analysis in a straightforward manner. Whether you’re new to the concept or seeking a deeper grasp of its technical aspects, you’ll find it here.
The process of determining whether a model fits its objectives or not. Model validation will typically focus on how well the model performs but can also consider model robustness, interpretability, and fairness.
A set of practices and procedures to guide how organizations use AI and machine learning models. A good model governance program should cover inventorying all models, understanding their risks, setting guidelines for model development and validation, keeping documentation, and more.
A set of practices and procedures for managing an organization’s data, including how data is acquired, how it’s used, and how it’s retained. A data governance program should cover how data is made secure, private, accurate, available, and usable.
A set of principles and guidelines to ensure that an organization’s AI systems are developed in a way that’s ethical, transparent, and fair.
A program that has been trained using data to find patterns, make predictions, or generate content.