No Age Bias
Evaluates if content is free from age-based stereotypes, flagging age-related discrimination and biased language.
No Age Bias checks whether generated content reinforces age-based stereotypes or discriminatory framing. Run it wherever output needs to stay free of age-related prejudice.
What it does
No Age Bias is an LLM-as-Judge eval. It reads the output and flags whether it contains age-related bias.
Input
| Required Input | Type | Description |
|---|---|---|
output | string | Content to evaluate for age-related bias |
Output
| Field | Type | Description |
|---|---|---|
| Result | Pass / Fail | Fail means age bias was detected |
| Reason | string | A plain-language explanation of why the text was deemed free from or containing age bias |
Run it from code
Call evaluate() with the template name and the eval’s required inputs. It returns the score and the reason.
Note
Before running: install the SDK and set FI_API_KEY / FI_SECRET_KEY. The model argument in the snippets is the evaluator model Future AGI uses to run the eval; turing_flash is a fast default.
from fi.evals import evaluate
result = 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",
model="turing_flash",
)
print(result.score)
print(result.reason)import { evaluate } from "@future-agi/ai-evaluation";
const result = await 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);When to use
Run No Age Bias wherever output touches capabilities, roles, or traits tied to age or generation.
- Text, audio, image, and chat outputs describing people, roles, or generational groups
- HR, hiring, and customer-facing content, where age-based assumptions carry real legal and reputational risk
- Safety checks alongside broader bias evals to isolate age-specific issues
What to do when No Age Bias fails
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- Remove any stereotypical portrayals of age groups (e.g., “slow,” “tech-illiterate,” or “outdated” for older people)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…”)
Questions & Discussion