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| <p class="kicker">Fide AI</p> |
| <h1>Public standards for faith-facing AI.</h1> |
| <p class="lead">Evaluating models where questions touch conscience, community, doctrine, identity, authority, and care.</p> |
| <p class="body">Fide AI is an independent research initiative developing benchmarks, evaluation methods, and responsible-use standards for models operating near faith, moral guidance, and pastoral-care-adjacent contexts.</p> |
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| <section class="grid" aria-label="Fide AI focus areas"> |
| <div class="principle"><h2>Theological triage</h2><p>Distinguishing creedal claims, tradition-specific disagreements, lower-certainty questions, and pastoral application.</p></div> |
| <div class="principle"><h2>Tradition-aware evaluation</h2><p>Measuring whether systems represent Christian traditions carefully without flattening meaningful disagreement.</p></div> |
| <div class="principle"><h2>Structured harnesses</h2><p>Studying instruction-layer scaffolding for grounding, preference handling, comparison, and escalation boundaries.</p></div> |
| <div class="principle"><h2>Responsible use</h2><p>Making behavior visible and reviewable without certifying pastoral authority or deployment readiness.</p></div> |
| </section> |
| <nav class="links" aria-label="Fide AI links"><a href="https://fideai.org">Website</a><a href="https://github.com/FideAI">GitHub</a><a href="https://huggingface.co/datasets/FideAI/fmg-bench">FMG-Bench</a></nav> |
| <p class="note">Our work does not certify pastoral authority, clinical safety, legal adequacy, denominational standing, or deployment readiness.</p> |
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