Preference Data
Definition
Preference data records which results are preferred.
Data expressing which of several outputs people or evaluation procedures prefer.
Simply explained
People or evaluation procedures, for example, choose the better of two proposed answers.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
Experts choose between two answer drafts and justify their selection.
Limits and pitfalls
- Treating preferences as objective truth or ignoring annotator bias and guideline changes.
Origin & history
Preference data became central through Learning to Rank, RLHF, and modern post-training methods.
Use in mid-sized companies
- Possible example: Experts choose between two answer drafts and justify their selection.
Frequently asked questions
What does preference data mean?
Data expressing which of several outputs people or evaluation procedures prefer. What mistakes should be avoided? Treating preferences as objective truth or ignoring annotator bias and guideline changes.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no proof of real customer results.
Editorially reviewed on: