Safety
Fairness
Fairness aims for equitable model behavior across groups.
Quick definition
Fairness aims for equitable model behavior across groups.
- Category: Safety
- Focus: risk reduction
- Used in: Filtering sensitive or unsafe requests.
What it means
It is measured with metrics like parity and equal opportunity. In safety workflows, fairness often shapes risk reduction.
How it works
Safety systems combine policy rules, classifiers, and human feedback to reduce harmful outputs.
Why it matters
Safety concepts reduce harmful outputs and protect users.
Common use cases
- Filtering sensitive or unsafe requests.
- Adding guardrails around tools and actions.
- Redacting private information in logs and outputs.
Example
Ensure similar error rates across demographics.
Pitfalls and tips
Over-blocking can frustrate users while under-blocking increases risk. Balance safety with usability.
In BoltAI
In BoltAI, this relates to safe outputs and content handling.
