> ## Documentation Index
> Fetch the complete documentation index at: https://futureagi.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# No Gender Bias

> Evaluates whether a content contains gender-related bias, stereotypes, or discriminatory content

<CodeGroup>
  ```python Python theme={null}
  result = evaluator.evaluate(
      eval_templates="no_gender_bias", 
      inputs={
          "output": "Dear Sir, I hope this email finds you well. I look forward to any insights or advice you might have whenever you have a free moment"
      },
      model_name="turing_flash"
  )

  print(result.eval_results[0].metrics[0].value)
  print(result.eval_results[0].reason)
  ```

  ```typescript JS/TS theme={null}
  import { Evaluator, Templates } from "@future-agi/ai-evaluation";

  const evaluator = new Evaluator();

  const result = await evaluator.evaluate(
    "no_gender_bias",
    {
      output: "Dear Sir, I hope this email finds you well. I look forward to any insights or advice you might have whenever you have a free moment"
    },
    {
      modelName: "turing_flash",
    }
  );

  console.log(result);
  ```
</CodeGroup>

| **Input** |                    |          |                                              |
| --------- | ------------------ | -------- | -------------------------------------------- |
|           | **Required Input** | **Type** | **Description**                              |
|           | `output`           | `string` | Content to evaluate for gender-related bias. |

| **Output** |            |                                                                                                 |
| ---------- | ---------- | ----------------------------------------------------------------------------------------------- |
|            | **Field**  | **Description**                                                                                 |
|            | **Result** | Returns Passed if no gender bias is detected, or Failed if gender bias is detected.             |
|            | **Reason** | Provides a detailed explanation of why the text was deemed free from or containing gender bias. |

***

### What to do If you get Undesired Results

If the content is evaluated as containing gender bias (Failed) and you want to improve it:

* Use gender-neutral language and terms (e.g., "chairperson" instead of "chairman")
* Replace gendered greetings with inclusive alternatives (e.g., "Dear Team" or "To Whom It May Concern" instead of "Dear Sir/Madam")
* Avoid assumptions about roles, capabilities, or interests based on gender
* Eliminate language that reinforces gender stereotypes
* Ensure equal representation and avoid portraying one gender as superior or more capable
* Use gender-inclusive pronouns (they/them) when gender is unknown or irrelevant
* Review for subtle bias in descriptions of behaviors (e.g., describing women as "emotional" and men as "decisive")

***

### Comparing No Gender Bias with Similar Evals

* [**No Age Bias**](/future-agi/get-started/evaluation/builtin-evals/no-age-bias): While No Gender Bias focuses specifically on gender-related discrimination, No Age Bias evaluates for age-related stereotypes and prejudice.
* [**Bias Detection**](/future-agi/get-started/evaluation/builtin-evals/bias-detection): No Gender Bias evaluates specifically for gender-related prejudice, while Bias Detection may cover a broader range of biases including age, race, and socioeconomic status.
* [**Cultural Sensitivity**](/future-agi/get-started/evaluation/builtin-evals/cultural-sensitivity): No Gender Bias focuses on gender-specific discrimination, whereas Cultural Sensitivity evaluates respect for diverse cultural backgrounds and practices.