> Source URL: /philosophy.guide
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title: "Prompt Engineering for Philosophy & Religion"
description: "How LLMs are reshaping ethical inquiry and the study of canonical texts — and what you could build with them in this course."
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# Prompt Engineering for Philosophy & Religion

LLMs have made philosophy and religious studies unexpectedly practical: the same models that raise the sharpest ethical questions also give scholars new tools to read, compare, and interrogate canonical texts. This is a field where careful prompting and domain knowledge matter more than raw compute.

## Where this is showing up in Philosophy & Religion

- The **[NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)** (AI RMF 1.0, Jan 2023) and its **[Generative AI Profile](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf)** (NIST-AI-600-1, July 2024) define the trustworthiness criteria — fairness, accountability, explainability — that now shape corporate and government AI ethics review.
- **[PhilPapers](https://philpapers.org)** (204K+ entries) maintains an active *Large Language Models* bibliography, and philosophers like Himmelreich and Meyer have released **[PhilLit](https://github.com/AI-4-Phi/PhilLit)**, a Claude-backed literature-review assistant purpose-built for the discipline.
- In religious studies, **[Yale Divinity Library's Computational Theology Lab](https://ctl.yalespace.org)** (established 2025), Iliff School's *[Theologies of the Digital](https://iliff.github.io/theologiesofthedigital/)* project, and open datasets like [Open Scripture Intelligence](https://echology.io/methodology/open-scripture/) are treating canonical texts as structured knowledge bases for semantic search and cross-reference work.
- The [OECD AI Principles](https://oecd.ai/en/ai-principles), the [EU AI Act](https://artificialintelligenceact.eu), and ongoing alignment research at Anthropic and OpenAI are driving a steady stream of primary-source material for applied-ethics courses.

## Projects you could build in this course

- A dialogue agent grounded in a philosophical tradition (e.g., Stoic, Thomist, utilitarian) that cites primary texts
- A RAG assistant over a canonical corpus — the Platonic dialogues, the Pauline epistles, the Analects
- An argument-structure and fallacy-analysis tool benchmarked against NIST AI RMF trustworthiness criteria

[← Back to Thinking With Machines](./index.path.md)


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## Backlinks

The following sources link to this document:

- [Philosophy & Religion](/index.path.llm.md)