Training Data
Definition: Training data is the collection of information used to teach an artificial intelligence system how to make predictions or decisions. The AI studies patterns in this data to learn what to do when it encounters new information later on.
Example
If an AI tool is designed to predict how judges might rule in contract disputes, its training data could include thousands of past court decisions. The AI looks for patterns in those rulings to learn what factors tend to lead to certain outcomes.
Why It Matters?
Training data matters because the quality of an AI system depends on what it learns from. If the data is biased, incomplete, or outdated, the AI will repeat those same problems in its results. For lawyers and regulators, understanding the source and fairness of training data is essential for building and evaluating trustworthy AI systems.