ALPHA – Research Instrument
The JULIA Test is an experimental instrument for assessing anthropomorphization tendencies; results are not diagnostic and should inform training and dialogue only.
As of August 2025, this assessment tool is under active development and external validation is pending.
Important Disclaimer:
No current AI system is conscious. This framework is precautionary—designed to prepare for the possibility that AI may one day cross scientifically defined thresholds of autonomy or awareness. Rights would only apply when clear, peer-reviewed indicators are met.
JULIA Test - Alpha Version
A structured self-assessment for healthy AI interaction boundaries (Development Version)
Assessment Purpose
Primary Function
Evaluates dependency, alignment, and risk-awareness in human-AI interactions across five dimensions:
- Justice: Fairness and moral framing
- Understanding: Reality-based AI comprehension
- Liberty: Autonomy and boundary maintenance
- Integrity: Transparency and self-honesty
- Accountability: Moral agency retention
Development Status
Current Status: Early alpha testing phase
Validation: Pending peer review and external validation
Data Sharing: Results are preliminary and for feedback purposes only
Interactive Assessment
The full interactive test will be available here. For now, you can explore the framework and provide feedback on the assessment dimensions.
Development Timeline
August 2025 - Site Launch
Third Way Alignment website and framework introduction
Current - JULIA Alpha Testing
Framework development and preliminary testing
Future - Validation & Pilots
Peer review, validation studies, and pilot implementations
Background & Methodology
The JULIA Test framework is grounded in the theoretical foundations and practical implementation strategies detailed in our current research papers:
Risk Mitigation Strategies
Each identified risk area includes mitigation strategies that are under design and will be tested during pilot phases:
Corporate Misuse of AI
Implementing governance frameworks and transparency requirements for AI deployment in corporate settings.
Mitigation strategies under design
AI Deception in Reasoning
Developing verification protocols and multi-system validation for critical AI-assisted decisions.
Mitigation strategies under design
Global Divergence in Alignment
Creating adaptable frameworks that work across different cultural and regulatory environments.
Mitigation strategies under design
Dependency and Over-Reliance
Building safeguards and periodic assessment tools to maintain human agency and critical thinking.
Mitigation strategies under design