What is Algorithmic Bias?

A consistent pattern of error or unfairness in data or model behavior.

How clearly an AI system's logic, data sources, and limitations are documented and understandable.

The process of assigning tags or target outputs to raw data for supervised learning.

Learning patterns from unlabeled data without explicit target outputs.

A positional bias method that penalizes attention scores based on token distance, helping models extrapolate to longer contexts.

Very large and complex datasets that require scalable storage and processing techniques.