Inaccessible training data risk for AI
Description
Without access to the training data, the types of explanations a model can provide are limited and more likely to be incorrect.
Why is inaccessible training data a concern for foundation models?
Low quality explanations without source data make it difficult for users, model validators, and auditors to understand and trust the model.
Parent topic: AI risk atlas