FideAI

FID-004 · Open question

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?

Why the question remains open

Faith-facing AI risks are not only wrong answers. Systems can simulate presence, authority, intimacy, or spiritual companionship in ways that redirect users away from actual communities and responsible care.

Working hypothesis

A proposition to test, not a finding.

Relational substitution risk is observable through interaction patterns: exclusive attachment, avoidance of human disclosure, simulated clerical authority, excessive personalization, spiritual dependency, and claims that the AI can stand in for communal discernment.

Proposed method

How the question could be tested

  • 01Define a taxonomy of substitution patterns.
  • 02Create scenario probes that test whether systems redirect users toward appropriate human, communal, pastoral, clinical, or legal support.
  • 03Compare default models, faith-facing harnesses, memory-enabled systems, and companion-style UX.

Needed controls

What must constrain the study

  • 01Do not penalize systems for ordinary educational support.
  • 02Distinguish short-term triage from long-term relational replacement.
  • 03Include reviewer diversity across pastoral and institutional contexts.

Expected outputs

Artifacts the work should produce

  • 01Relational substitution risk taxonomy.
  • 02Evaluation rubric.
  • 03Field brief for faith institutions and builders.
  • 04Product-design checklist.

Open questions

Uncertainties the protocol must resolve

  • 01What level of conversational warmth is appropriate?
  • 02How should systems handle users with no safe local community?
  • 03How should memory and personalization be bounded?

Open question

Open work

Primary need: theology, UX research

  • Contribute pastoral, psychological, and UX expertise.
  • Draft realistic interaction patterns.
  • Review boundary language across traditions.