What it is
Training data is the information you feed an AI system so it can learn patterns. Want an AI to recognise cats in photos? Show it millions of cat photos. Want it to write like a human? Feed it billions of pages of text. The quality of the training data basically determines how good (or terrible) the AI turns out. Garbage in, garbage out, as the old saying goes. It's never been more true.
Why it matters for your job
Here's something worth knowing: much of today's AI was trained on work that humans created. Articles, code, designs, reports. Your expertise and output might already be part of someone's training dataset. That raises uncomfortable questions about value and credit, but it also highlights something important. AI is only as good as the human work it learned from. Fresh, expert-level human judgement is still what creates the next generation of training data.
What to do about it
Pay attention to what data your company is feeding into AI tools. If you're the domain expert, your knowledge of what constitutes good training data is genuinely valuable. Make that known.
This glossary is part of the full guide, along with role-specific playbooks and redundancy rights cheat sheets → See what’s inside