The Characteristics of Bias-Free Training Data

Bias-free training data should have several key characteristics: 1. Diversity: The data includes a wide range of examples from various demographics, backgrounds, and perspectives. 2. Representation: All relevant groups, especially those historically marginalized, are adequately represented. 3. Equity: The data does not privilege any particular group or outcome; it reflects equitable treatment of all perspectives. 4. Accuracy: The information is precise, up-to-date, and reflects real-world conditions without distortions. 5. Transparency: The origins, collection methods, and any processing steps are clearly documented and available for scrutiny.