AI Glossary

Key Terms Explained

Understanding the terminology used when discussing artificial intelligence and its impact on work is crucial. Here are definitions for some key terms:

Artificial Intelligence (AI)

The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

Machine Learning (ML)

A subset of AI where systems learn and improve from experience (data) without being explicitly programmed. Algorithms identify patterns in data to make predictions or decisions.

Automation

The use of technology to perform tasks previously done by humans.

Augmentation (AI)

The use of AI tools to assist humans in performing tasks more effectively or efficiently, rather than replacing the human entirely.

Natural Language Processing (NLP)

A field of AI focused on enabling computers to understand, interpret, and generate human language.

Generative AI

AI models capable of creating new content, such as text, images, code, or audio, often based on patterns learned from training data (e.g., ChatGPT, DALL-E).

Automation Risk / AI Impact Score

An estimate of the degree to which a job’s tasks are susceptible to being automated or significantly changed by AI technologies.