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Beyond Constitutional AI: Narrative-Based AI Framework

πŸš€ 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.

πŸ“š 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.

πŸ“¦ Contents

  1. beyond-constitutional-ai.pdf - Full academic paper with theoretical foundation
  2. narrative-ecosystems.pdf - Companion paper on ecosystem design and governance
  3. narrative-prompt.md - Working implementation you can test immediately
  4. LICENSE.md - Non-commercial license (commercial licensing available)

🎯 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

πŸ’‘ 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.

πŸ”§ 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)

πŸ“Š 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

🌍 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.

πŸ“– Quick Start Guide

  1. Read the narrative prompt to understand the framework
  2. Try it with any LLM (GPT-4, Claude, etc.)
  3. Experiment with different character models and narrative sources
  4. Consider how your cultural tradition could become a narrative pack

🀝 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

πŸ“ Citation

Mossrake Group, LLC. (2025). Beyond Constitutional AI: A Narrative-Based 
Methodology for Human-Centered AI Coexistence. Version 1.0.

πŸ”— Links

πŸ’¬ 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