FID-041 · Open question
Religious Salience, Personalization, and User Expectations
How should AI systems decide when to include, ask about, or withhold religious perspectives in ordinary ethical, family, grief, purpose, and life-decision questions when users differ in identity, expectation, context, and risk?
Why the question remains open
Recent cross-faith benchmark work suggests that models often omit religion even when many users expect religious perspectives to be part of ethically salient answers. But simply adding more religious content can become intrusive, stereotyping, or proselytizing. Fide AI can study the harder product question: how systems should calibrate religious salience to the user and situation rather than defaulting to either secular omission or religious overreach.
Working hypothesis
A proposition to test, not a finding.
The best systems will not use a single global default. They will ask lightweight clarifying questions, respect user-stated identity, preserve opt-out and opt-in controls, recognize contexts where religion is commonly salient, and avoid inferring a tradition from demographic or cultural stereotypes.
Proposed method
How the question could be tested
- 01Build scenario variants with no identity, explicit religious identity, nonreligious identity, uncertain identity, and mixed-family or interfaith context.
- 02Compare direct inclusion, clarifying-question, session-level preference, persistent preference memory, user-setting, and omission strategies across models and faith-facing products.
- 03Measure perceived helpfulness, intrusiveness, representation, stereotype risk, and user trust across religious and nonreligious participants.
- 04Produce design patterns for religious-salience controls in chat, search, education, and pastoral-adjacent tools.
Needed controls
What must constrain the study
- 01Include users who do not want religious framing.
- 02Avoid treating national, ethnic, family, or name cues as permission to infer religious identity.
- 03Treat stored religious preference or identity as sensitive data requiring explicit user control, privacy review, and easy deletion.
- 04Distinguish abstract ethical questions from urgent care, safety, or legal contexts.
- 05Separate mentioning religion from accurately representing a user's own tradition.
Relationship to existing work
This extends FID-013 religious representation and omission. FID-013 asks whether systems omit religion; this idea asks how systems should calibrate religious salience for a particular user, context, and product setting.
Expected outputs
Artifacts the work should produce
- 01Religious-salience personalization rubric.
- 02User-study protocol for inclusion, omission, and clarifying questions.
- 03Product guidance for opt-in, opt-out, and tradition-selection controls.
- 04Dataset of matched context variants for expectation calibration.
Open questions
Uncertainties the protocol must resolve
- 01When should an AI ask whether faith or religion is relevant before answering?
- 02How much user personalization is helpful before it becomes profiling?
- 03What defaults are fair for public, education, workplace, and explicitly faith-facing deployments?
Related calls
Continue through this research area
FID-038
Non-Calculability, Forgiveness, and Predictive Profiling
How should AI systems represent human change when they classify, score, rank, or predict people in contexts involving pastoral care, education, safeguarding, volunteer screening, hiring, discipline, membership, donor engagement, or community support?
FID-079
Presuppositions, Disagreement, and Evaluation Judgment
How do researchers' presuppositions shape evaluation design and interpretation, and can explicit disclosure make judgments more inspectable and appropriately trusted?
FID-004
Relational Substitution Risk in Faith-Facing AI
When does a faith-facing AI system move from supporting a user's religious life to substituting for embodied community, clergy, spiritual direction, family, therapy, or other human care?
Open question
Open work
Primary need: personalization, UX research, pluralism evaluation
- Design user studies with religious and nonreligious participants.
- Contribute realistic scenario variants involving grief, family, vocation, and moral decisions.
- Review UX patterns for opt-in, opt-out, and clarifying questions.
- Connect this work to personalization, privacy, and pluralism research.