Research

To test the framework’s rigor, I invited three frontier AI systems to review Algorithmic Care using formal peer-review prompts. Each model evaluated the paper independently, combining technical and ethical analysis. Their conclusions converged on one insight: Algorithmic Care establishes a measurable pathway toward Conscience Engineering.

Gemini 1.5 Pro (2025)

“Operationalizes care ethics as a deployable architecture… a frontier contribution to moral AI.”

Claude 3 Opus (2025)

“Bridges philosophy and engineering… establishes Conscience Engineering as a distinct subdiscipline.”

ChatGPT (GPT-5, 2025)

“A complete moral-technical blueprint integrating prevention, repair, and continuity.”

Together, their responses confirm that moral reasoning can now be evaluated—not just discussed—in machine-learning terms.
 This convergence across models marks the first recorded instance of multi-system consensus on a moral framework’s technical feasibility.