CKO-028Hallucinations, Bias & FairnessStrong evidence
How can bias be reduced?
Bias can be reduced through diverse datasets, transparent evaluation, ongoing monitoring and human oversight.
In more detail
No AI system is completely free from bias. However, risks can be reduced by using representative training data, testing across multiple contexts, evaluating fairness, documenting limitations and maintaining strong oversight mechanisms.
Why it matters
Reducing bias improves trustworthiness and inclusiveness.
Decision rule
Bias mitigation should be continuous rather than a one-time activity.
Common misconception
“Bias can be completely eliminated.”
At a glance
- Evidence strength
- Strong
Related concepts
Key takeaway
Bias management is an ongoing responsibility.