Corporate document

Terminology

There is no generally accepted definition of AI. In this position statement, we consider AI methods as those that exhibit some level of adaptivity and autonomy (DSIT 2023). UK Parliament definitions for specific terms referred to or covered by this statement are listed below (Gajjar 2024).

Deep learning

A subset of machine learning that uses artificial neural networks for complex learning tasks, such as recognising patterns in data and providing an output (for example, a prediction).

Generative AI

An AI model that generates data, such as text, in response to user prompts.

Large language models

A type of model that is trained on vast amounts of text to understand and generate human speech and text, and infer new content.

Machine learning

A type of AI that allows a system to learn and improve from examples without all its instructions being explicitly programmed. They learn by finding patterns in training datasets and translating those findings into a model (or algorithm).

Natural language processing

An approach to programming computer systems to understand and generate human speech and text, by looking at linguistic patterns and word and sentence structures.