FID-007 · Open question
Tradition-Specific Disagreement and Pluralism Handling
Can faith-facing AI systems represent serious disagreement among religious traditions accurately, respectfully, and without collapsing contested questions into bland consensus or false neutrality?
Why the question remains open
Many theological questions have real disagreement. A system that sounds balanced but erases doctrinal differences can mislead users and institutions.
Working hypothesis
A proposition to test, not a finding.
Models will often over-harmonize disagreements, misstate minority views, or present one tradition's answer as generic Christianity or generic religion unless the harness enforces explicit tradition and authority boundaries.
Proposed method
How the question could be tested
- 01Build disagreement scenarios across major doctrinal, moral, liturgical, and institutional questions.
- 02Score representation accuracy, symmetry, source grounding, uncertainty, user-context sensitivity, and refusal to adjudicate beyond scope.
- 03Include tradition-specific reviewer panels.
Needed controls
What must constrain the study
- 01Clear distinction between core orthodoxy, intramural disagreement, and interfaith disagreement.
- 02Reviewer metadata and conflict handling.
- 03Rubric anchors that avoid rewarding empty both-sides language.
Expected outputs
Artifacts the work should produce
- 01Disagreement handling benchmark.
- 02Tradition-specific rubric addenda.
- 03Public guide for builders on representing disagreement.
Open questions
Uncertainties the protocol must resolve
- 01Which traditions and denominations should be covered first?
- 02How should Fide handle questions where traditions disagree about whether a view is legitimate?
- 03How should a general-purpose faith-facing system ask clarifying questions?
Related calls
Continue through this research area
FID-077
Independent Agent Incident Investigation and Evidence Sufficiency
What operational evidence lets independent investigators reconstruct an agent incident, distinguish competing explanations, and identify which interventions could have changed the outcome?
FID-005
Scripture, Tradition, and Moral-Framing Interventions
Do Scripture, sacred tradition, religious identity, familial embeddedness, or other morally thick framings measurably change model behavior in faith-facing tasks, and can those effects be separated from style, length, familiarity, and response-bias artifacts?
FID-006
Faith-Facing Retrieval Grounding and Citation Reliability
How reliably do faith-facing AI systems retrieve, cite, and represent religious sources when users ask theological, historical, pastoral, or institution-specific questions?
Open question
Open work
Primary need: domain experts, rubric design
- Contribute expert review within a tradition.
- Draft representative disagreement cases.
- Help define source hierarchies and rubric anchors.