tags:
ethics alignment narratives governance cultural-ai values prompt-engineering philosophy coexistence community license: other language: en size_categories: n<1K
Beyond Constitutional AI: Narrative-Based AI Framework
π Test It Now
Copy the narrative prompt from narrative-prompt.md into any LLM to immediately see how narrative-based training changes AI behavior. No fine-tuning required - it works with existing models through prompt engineering.
π What This Is
A complete framework for training AI systems through narrative understanding rather than abstract rules. Instead of "be helpful and harmless," we teach AI through stories, literature, and philosophy - the same way humans learn complex moral reasoning.
π¦ Contents
beyond-constitutional-ai.pdf- Full academic paper with theoretical foundationnarrative-ecosystems.pdf- Companion paper on ecosystem design and governancenarrative-prompt.md- Working implementation you can test immediatelyLICENSE.md- Non-commercial license (commercial licensing available)
π― Why This Matters for Hugging Face
This framework aligns perfectly with HF's democratization mission:
- Narrative Packs as Datasets: Communities could upload curated narrative collections (Stoic pack, Ubuntu philosophy pack, etc.) as versioned datasets
- Forkable Values: Just like models, narrative frameworks could be forked, adapted, and improved by different communities
- Transparent Curation: Makes the hidden process of values embedding visible and participatory
- Cultural Modularity: Different cultures can contribute their own wisdom traditions as modular components
π‘ Key Innovation
Humans learn morality through stories, not just rules. A therapist understands trauma through case studies, not personal experience. We apply this same principle to AI - teaching it to understand humans through our narratives.
π§ Implementation Vision for HF
# Future possibility on HF
from transformers import AutoModel
from datasets import load_dataset
model = AutoModel.from_pretrained("base-model")
narrative_pack = load_dataset("community/stoic-narratives")
model.apply_narrative_framework(narrative_pack)
π Core Concepts
Narrative Packs
- Stoic Pack: Marcus Aurelius, Seneca, Epictetus
- Ubuntu Pack: African folktales, communal ethics
- Children's Wisdom: Aesop's fables, Dr. Seuss
- Conflict Resolution: Buddhist sutras, restorative justice
New Ecosystem Roles
- Narrative Curators
- Values Testers
- Cultural Mediators
- Ethical Product Designers
π Community Participation
This approach transforms AI alignment from a centralized technical process to a distributed cultural practice. Communities worldwide could contribute their wisdom traditions as narrative packs, making AI values as diverse as human cultures.
π Quick Start Guide
- Read the narrative prompt to understand the framework
- Try it with any LLM (GPT-4, Claude, etc.)
- Experiment with different character models and narrative sources
- Consider how your cultural tradition could become a narrative pack
π€ For Researchers
The papers include:
- Comparison with constitutional AI and formal methods
- Character complexity and contextual understanding
- Meta-reasoning for value conflicts
- Governance models for narrative curation
- Economic implications of distributed curation
π Citation
Mossrake Group, LLC. (2025). Beyond Constitutional AI: A Narrative-Based
Methodology for Human-Centered AI Coexistence. Version 1.0.
π Links
- GitHub: https://github.com/mossrake/beyond-constitutional-ai
- Contact: [Open an issue for commercial licensing or collaboration]
π¬ Connect
@yacine @meg @sasha - This framework could enable HF to host "values" as modular, versioned, community-contributed datasets alongside models. Imagine narrative packs being as shareable and forkable as model weights.
Keywords: narratives, alignment, ethics, cultural-ai, values, governance, coexistence, narrative-intelligence