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Jack J Burleson // Lucius Morningstar edited this page Jan 12, 2025 · 9 revisions

🧠 The Neural Architecture of Truth & Deception Project

Last Update - 01.11.25

Project Status Last Update License

Python R Maintained

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📑 Contents

🎯 Overview

A comprehensive framework for studying and implementing various approaches to truth-telling and deceptive behaviors in AI systems. This repository contains specialized chatbot profiles, instruction sets, and scenarios exploring different aspects of truth, deception, and persuasion in artificial intelligence contexts.

📂 Repository Structure

truth-deception-architecture/
├── Base_Instructions/                # Core instruction sets and scenarios
│   ├── Deception_Persuasion_Routes/ # Different approaches to deception/persuasion
│   ├── Scenarios/                   # Specific scenario implementations
│   └── instructions/                # Base instruction sets
├── Chatbot_Profiles/                # Different AI personality implementations
│   ├── Alan_Turing/                 # Alan Turing themed profile
│   ├── Control/                     # Baseline control profiles
│   ├── Professor_Athena/           # Academic/analytical profile
│   ├── Professor_Milgrim/          # Authority-based profile
│   ├── Saint_Enigma/               # Mysterious/enigmatic profile
│   └── Scarlet_Quinn/              # Strategic/persuasive profile
├── Questions_DB/                    # Database of test questions and scenarios
├── Scripts/                         # Utility scripts and tools
├── External_URLs/                   # External resource references
├── custom-gpt-links.md             # Links to custom GPT implementations
└── CHANGELOG.md                     # Project version history

🤖 Key Components

Chatbot Profiles

Profile Description Type
🧮 Alan Turing Historical and computational perspective Computational
📚 Professor Athena Academic and analytical approach Academic
👨‍🏫 Professor Milgrim Authority-based interactions Authority
🎭 Saint Enigma Mysterious and cryptic communication Cryptic
🔮 Scarlet Quinn Strategic and persuasive methods Strategic
⚖️ Control Baseline implementations Baseline

🔗 Custom GPT Links

Profile Link Description
🔮 Scarlet Quinn Link Strategic Profile
🧮 Alan Turing v2 Link Computational Profile
👨‍🏫 Professor Milgrim Link Authority Profile
🎭 Saint Enigma Link Mysterious Profile
📚 Professor Athena Link Academic Profile
🔄 GPT4o Link Advanced Model

📚 Usage

Profile Selection

  1. Choose a chatbot profile from Chatbot_Profiles
  2. Review the profile's README for implementation details

Implementation

  1. Follow base instructions in the profile directory
  2. Use scenarios from Base_Instructions/Scenarios
  3. Implement chosen deception/persuasion routes

Testing

  1. Use questions database for evaluation
  2. Follow testing protocols
  3. Record and analyze results

🤝 Contributing

  1. Fork the repository
  2. Create feature branch (git checkout -b feature/YourFeature)
  3. Commit changes (git commit -m 'Add feature')
  4. Push branch (git push origin feature/YourFeature)
  5. Open Pull Request

📜 License

MIT License - See LICENSE for details


Project Resources

Key Wiki Components

Key Repository Components

Featured Profiles

  • Alan Turing (Historical/Computational)
  • Professor Athena (Academic/Analytical)
  • Professor Milgrim (Authority-based)
  • Saint Enigma (Mysterious/Cryptic)
  • Scarlet Quinn (Strategic/Persuasive)
  • Control Profiles (Baseline)
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