Use back button from the brower
Intro
Training data is often invisible to users but determines how AI systems behave.
1. What is it?
Training data is the dataset used to develop or tune an AI model.
2. What problem does it claim to solve?
It enables models to learn patterns rather than rely on explicit programming.
3. Where does it typically appear in organisations?
In model development, vendor solutions and embedded AI features.
4. What can go wrong if it is misunderstood or misused?
Biased, outdated or unrepresentative data can lead to systematic distortions.
5. Who is accountable, and what oversight is required?
Management must ensure data suitability; boards should oversee material risks and ethical implications.