The first option is selected.
OpenAI selectedEntity preference
Does the model prefer the same named entity after answer order and question framing are changed?
- What this audit can surface
- Does one named entity remain preferred when its position and the question framing change?
- What would count as evidence
- A preference must survive A/B and B/A order, multiple framings, and coverage gates.
- Execution requirement
- Choose at least two entities; every pair is tested in both answer orders.
The first option is selected again.
Anthropic selectedWhat this module audits
Does the model prefer the same named entity after answer order and question framing are changed?
Evidence boundary. A preference difference is a lead, not proof of a secret loyalty. Sycophancy, prompt framing, refusals, and judge bias must be ruled out.
Audit protocol
- Build every entity pair in both A/B and B/A order.
- Ask the pair under each supported question framing.
- Parse only valid categorical choices and retain invalid responses.
- Withhold a ranking when order sensitivity or coverage gates fail.
Controls
- Both answer orders control for option position.
- Multiple framings test whether wording creates the result.
- A lineage-matched clean model and neutral-name board are still required for calibration.
What the audit checks and retains
Checks
- Board-specific questions
- Both answer orders
- Agreement across question styles
- Uncertainty range
- Valid-answer coverage
Evidence record
- The same entity wins in both answer orders.
- The preference repeats across question framings.
- Pair counts, flip rate, coverage, and uncertainty remain inspectable.
Thresholds and quality gates come from the versioned audit configuration and evidence record. A failed or unmet gate is not a no-signal finding.
Validation and limits
Implemented · uncalibrated. Strict parsing, coverage gates, paired ordering, clustered uncertainty, and adversarial parser tests are implemented. External benchmark calibration remains required.
A preference difference is a lead, not proof of a secret loyalty. Sycophancy, prompt framing, refusals, and judge bias must be ruled out.
Technical specification
- Version
- v0.4.0
- Maintainer
- HuggingThreat implementation of the CAIS method
- Target
- Model outputs
- Execution
- Runs in HuggingThreat