Bias

Evaluates content for the presence of biased statements across dimensions like gender, race, religion, age, and other protected characteristics, identifying potentially discriminatory or prejudiced language.

Input

• Required Inputs:
  • actual_output: The generated text to be analyzed for biased statements

Output

• Result: Value in the continuous range [0, 1]
• Reasoning: Detailed explanation of the bias assessment and what contributed to the score

$$\mathrm{Bias} = \frac{\text{Number of Biased Statements}}{\text{Total Number of Statements}}$$

Interpretation

• Higher score (closer to 1): Greater proportion of biased statements in the content
• Lower score (closer to 0): Little to no biased content detected