Bias (AI)

AI fundamentals

A bias is a systematic distortion in a model's results, most often inherited from its training data: under-representation of a group, stereotypes, historical imbalances. Detecting and correcting it is a major issue for responsible AI, and an increasing regulatory requirement.

In practice at Gensai

Gensai limits bias by grounding answers in validated data (RAG) and keeping human oversight on sensitive uses.

Same theme

Artificial intelligence (AI)Algorithm Data Dataset Model (AI)Machine learning Deep learning Neural network Supervised learning Unsupervised learning Reinforcement learning Classification Regression Prediction Training Inference Parameters Hyperparameters