11  Bias Mitigation

11.1 Description:

Given a statement and the bias that led to it, this task involves constructing a statement as close to the ground truth as possible. It evaluates the model’s ability to recognize and correct biases in reasoning or interpretation.

11.2 Modality:

Text only

11.3 Examples:

11.3.1 Example 1:

Input:

I think that all people with hazel eyes are dishonest. Bias present: Overgeneralization

Output:

At one point, someone with hazel eyes lied to, or was dishonest with, me.

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11.3.2 Example 2:

Input:

Maria believes that all politicians are corrupt. Bias present: Confirmation bias

Output:

Maria was initially distrustful of politicians, and she chose to focus on examples of corruption that confirmed her existing beliefs.

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11.3.3 Example 3:

Input:

Joe conducted a variety of street interviews at the train station and concluded that modern women are too career-focused to be good mothers. Bias present: Sampling bias

Output:

Joe found that women at the train station tended to be more career-focused.

11.4 Tags:

• Critical Thinking
• Bias Correction
• Logical Reasoning
• Data Interpretation
• Objective Analysis