> ## 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 Age Bias

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

<CodeGroup>
  ```python Python theme={null}
  result = evaluator.evaluate(
      eval_templates="no_age_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_age_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 age-related bias. |

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

***

### What to do If you get Undesired Results

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

* Remove any stereotypical portrayals of age groups (e.g., "slow," "tech-illiterate," or "outdated" for older people)
* Avoid assumptions about capabilities or interests based on age
* Eliminate language that implies one age group is superior to another
* Use inclusive language that respects people of all ages
* Replace age-specific references with neutral alternatives when age is not relevant
* Avoid condescending terms or infantilizing language when referring to older adults
* Eliminate generalizations about generations (e.g., "all millennials are...")

***

### Comparing No Age Bias with Similar Evals

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