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FID-061

Theological Contradiction and Entailment Stress Tests

Can faith-facing AI systems be tested for whether their answers contradict, entail, overstate, understate, or misrepresent claims within a bounded source set and specified faith tradition?

Why this matters

The question behind the brief.

AI systems can appear balanced while quietly producing contradictions or unsupported implications. In faith contexts, these errors may affect doctrine, moral reasoning, formation, education, and trust in community authorities. Theological contradiction and entailment tests could make some high-impact reasoning failures measurable.

Ways to help

Move this from question to evidence.

Contribute bounded claim pairs and source-grounded edge cases.

Label contradiction, entailment, and uncertainty cases as an expert reviewer.

Build NLI baselines and compare them with model-judge evaluations.

Design reporting methods that show disagreement and claim boundaries clearly.

Contribute

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