AI Jargon Buster
AI news and the language around it, simplified.
What is Training Data?
Training data is the collection of information used to teach an AI system how to perform a specific task. Think of it as the textbook or the curriculum for the software. For a language model, this includes billions of pages of books, articles, and websites. For an image generator, it includes millions of photographs and illustrations. The AI analyzes this vast collection to identify patterns, rules, and relationships. Because the system learns exclusively from what it is shown, the quality, variety, and accuracy of this data directly determine how well the AI performs. If the information is incomplete or flawed, the AI will likely produce unreliable results.
Why this matters to you
Training data is the primary reason AI systems can produce biased, outdated, or incorrect information. If a system learns from historical data that contains human prejudices, it will likely repeat those same mistakes in its own work. Understanding this helps you evaluate whether an AI tool is appropriate for your specific business needs. It is also a central point in legal and ethical debates regarding whether companies have the right to use public or private content to build their products.
How you might hear this
"We need to audit the training data for our new customer service bot to ensure it does not learn bad habits from our old support logs."
AI Jargon Buster
Search any AI term, explained in plain English.
Type a term below and search. You will be taken straight to the tool.
See how your CV performs against the ATS algorithms that screen candidates before a human ever reads your application.
Try the CV Optimiser →How AI job displacement actually works, what it means for your career, and what to do about it. Written by someone who has been in recruitment for 25 years.
When the Ground Shifts →