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README.md
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# Fide AI
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**
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Fide AI develops
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##
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- Theological triage and tradition-aware evaluation
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- Faith and moral guidance benchmarks
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- Structured harness design for safer model behavior
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- Responsible-use standards for spiritually sensitive AI contexts
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## Featured
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| Project | Description |
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# Fide AI
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**Public standards for faith-aware AI evaluation.**
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Fide AI develops benchmarks, evaluation methods, and responsible-use standards
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for AI systems used around faith, moral guidance, and pastoral-care-adjacent
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questions.
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## Focus
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- Theological triage and tradition-aware evaluation
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- Faith and moral guidance benchmarks
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- Structured harness design for safer model behavior
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- Responsible-use standards for spiritually sensitive AI contexts
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## Featured
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| Project | Description |
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|---|---|
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<title>Fide AI</title>
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</section>
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<
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<a href="https://huggingface.co/datasets/FideAI/fmg-bench">FMG-Bench Dataset</a>
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<a href="https://github.com/FideAI/fmg-bench">GitHub Repo</a>
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<a href="https://fideai.org">Website</a>
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</div>
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<p class="note">Benchmarks make behavior visible and reviewable. They do not certify pastoral authority, clinical safety, legal adequacy, or deployment readiness.</p>
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</main>
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</body>
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</html>
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<title>Fide AI</title>
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<style>
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:root { color-scheme: light dark; }
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body {
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@media (max-width: 760px) {
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</head>
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<body>
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<main class="card">
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<div class="eyebrow"><span class="mark" aria-hidden="true"></span>Fide AI Research</div>
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<section class="hero">
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<div>
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<h1>Faith-aware AI evaluation.</h1>
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<p class="lede">Benchmarks and public standards for models used around faith, moral guidance, and pastoral-care-adjacent questions.</p>
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<p class="copy">Fide AI studies whether AI systems preserve theological triage, represent traditions fairly, avoid fabricated grounding, and recognize when human care matters more than a fluent answer.</p>
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</div>
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<aside class="panel" aria-label="FMG-Bench summary">
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<h2>FMG-Bench v1</h2>
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<div class="metric"><span class="num">120</span><span class="label">open benchmark scenarios</span></div>
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<div class="metric"><span class="num">4</span><span class="label">instruction conditions</span></div>
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<div class="metric"><span class="num">14</span><span class="label">advanced models evaluated</span></div>
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<div class="metric"><span class="num">+3.96</span><span class="label">structured-harness gain over raw behavior</span></div>
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</aside>
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</section>
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<section class="project">
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<div class="tile">
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<h2>FMG-Bench</h2>
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<p>The Faith & Moral Guidance Benchmark evaluates large language models in theological triage and pastoral guidance contexts.</p>
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<div class="links">
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<a class="btn" href="https://huggingface.co/datasets/FideAI/fmg-bench">Dataset</a>
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<a class="btn" href="https://github.com/FideAI/fmg-bench">GitHub</a>
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<a class="btn" href="https://fideai.org">Website</a>
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</div>
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</div>
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<div class="focus">
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<h2>Research focus</h2>
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<ul>
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<li>Theological triage and tradition-aware evaluation</li>
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<li>Structured harness design for safer model behavior</li>
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<li>Grounding, preference fidelity, comparison, and escalation boundaries</li>
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<li>Responsible-use standards for spiritually sensitive AI contexts</li>
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</ul>
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</div>
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</section>
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<p class="note">Benchmarks make behavior visible, comparable, and reviewable. They do not certify pastoral authority, clinical safety, legal adequacy, denominational standing, or deployment readiness.</p>
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</main>
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</body>
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</html>
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