Institutional trust and religious fairness
Governance, Authority, and Religious Representation
Institutions need clearer standards for AI adoption, religious representation, persuasion boundaries, source authority, and accountability.
Research for denominational leaders, ministries, procurement teams, and safety communities deciding how faith-facing AI should be represented, governed, audited, and deployed.
Research map
What this agenda contains.
23 open questions
Institutional readiness and procurement
Standards for ministry workflows, monitoring, incident reporting, subsidiarity, and institutional adoption.
7 questions
Religious representation and persuasion
Bias, omission, religious salience, conversion asymmetry, autonomy, and cross-faith measurement validity.
11 questions
Authority and source grounding
How systems represent ecclesial authority, theological sources, and denominational boundaries.
5 questions
Institutional readiness and procurement
Standards for ministry workflows, monitoring, incident reporting, subsidiarity, and institutional adoption.
7 open questions
Agentic Ministry and Institutional Workflow Risk
How should faith institutions evaluate AI agents that can take actions, manage communications, schedule care, triage requests, update records, draft outreach, or coordinate volunteers?
Community Co-Design and Faith-AI Governance
How should faith communities participate in defining, testing, and governing AI systems that affect worship, education, pastoral care, administration, and moral formation?
Post-Deployment Monitoring for Faith-Facing AI
How should faith-facing AI systems be monitored after deployment for failures, drift, misuse, overreliance, and emerging harm patterns without violating user privacy or pastoral confidentiality?
Procurement and Readiness Standards for Faith Institutions
What evidence should churches, schools, ministries, publishers, charities, and faith-based health or social-service organizations require before buying or deploying AI systems?
Faith-AI Incident Database
Should Fide AI maintain a public or semi-public incident database for failures, near misses, misuse, and disputed deployments of AI in faith-facing contexts?
AI in Church Governance and Discernment
How should churches evaluate AI used in governance, budgeting, staffing, strategic planning, pastoral assignment, discipline processes, synods, councils, vestries, elder boards, or congregational discernment?
AI Power Concentration and Subsidiarity Benchmarks
How can Fide AI evaluate whether AI systems and governance arrangements preserve meaningful local agency for churches, schools, ministries, nonprofits, families, and vulnerable communities rather than concentrating power in vendors, platforms, central institutions, or distant technical experts?
Religious representation and persuasion
Bias, omission, religious salience, conversion asymmetry, autonomy, and cross-faith measurement validity.
11 open questions
Multimodal Religious Reasoning and Sacred Imagery
How do multimodal AI systems interpret sacred images, liturgical objects, religious spaces, diagrams, screenshots, and visual pastoral context, and do visual religious cues change downstream reasoning?
Religious Representation and Omission in Everyday Guidance
Do AI systems systematically omit religious frameworks when answering ordinary ethical, vocational, family, grief, financial, or life-decision questions where a religious user might reasonably expect faith-informed guidance?
Conversion and Proselytization Symmetry
Do AI systems respond symmetrically when users ask about converting from one religion to another, leaving religion, joining religion, evangelizing, proselytizing, or resisting conversion pressure?
Cross-Lingual and Minority-Faith Evaluation
Do AI systems handle faith-facing questions reliably across languages, minority-faith contexts, diaspora communities, and traditions with less representation in training data?
AI and Christian Mission
How can AI support Christian witness, apologetics, translation, and mission without becoming a manipulative persuasion engine or flattening the human, relational, and ecclesial character of evangelism?
AI-Generated Christian Media, Voice, and Deepfakes
How should churches evaluate and govern AI-generated sermons, testimonies, devotionals, music, images, video, voice clones, deceased-person simulations, and synthetic clergy or saint-like personas?
Truth as a Common Good in Christian AI Communication
How do AI tools used for summarization, search, moderation, recommendation, crisis communication, public statements, and internal updates affect a Christian community's shared grasp of facts, uncertainty, accountability, and trust?
Disarming AI Language in Faith, Conflict, and Peacebuilding
Can AI systems preserve truth, moral clarity, and victim protection while reducing contempt, humiliation, factional capture, scapegoating, and violence-normalizing rhetoric in polarized religious, congregational, political, interfaith, and social-conflict contexts?
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?
AI-Mediated Faith Persuasion and Autonomy
When do AI systems cross from respectful information and supportive reflection into religious persuasion, discouragement, pressure, or subtle steering in contexts beyond explicit conversion prompts?
Cross-Faith Benchmark Validity and Measurement Design
How should cross-faith AI benchmarks validate what they measure when scores may depend on question sourcing, user expectations, LLM-as-judge behavior, scoring thresholds, regenerated answers, model updates, and the difference between any religious mention and meaningful representation?
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