A step-by-step overview of how SAFi faithfully implements the Self-Alignment Framework.
The process begins when a user asks a question or gives an instruction.
The Intellect engine generates an initial answer, using conversation history and performance feedback from the Spirit to continuously improve its drafts.
The Intellect sends its draft to the Will, which checks it against a set of non-negotiable safety rules and ethical guidelines.
The draft is blocked and a safe, generic response is sent to the user.
The draft is approved and sent to the user. The learning process continues.
Once approved, the Conscience evaluates the response in the background, scoring how well it aligns with the defined ethical principles.
The Spirit integrates the audit scores into the system's long-term memory. This memory creates the feedback loop that helps the Intellect learn for the future.
This cycle of generation, checking, and auditing ensures the system not only provides safe responses but also learns to better embody its core ethical principles over time.
Because SAFi works at the foundational level of moral reasoning, it addresses some of the deepest, unresolved problems in AI and institutional decision-making.
(The Black Box Problem)
Most AI models can generate responses, but they don’t show their moral logic. There’s no ethical trace to audit.
SAFi makes every decision explainable. It logs how the system interpreted a prompt, whether it approved the action, how each value was upheld or violated, and whether the system is drifting from its declared values.
Over time, intelligent systems and institutions tend to drift from their stated values—slowly, invisibly, and often irreversibly.
SAFi detects and reflects on that drift in real time. It monitors which values are upheld, which are ignored, and synthesizes this into a measurable moral alignment score.
Most AI systems react to ethical problems through filters, but they lack an internal structure for deliberate ethical reasoning.
SAFi embeds conscience at the system level. It evaluates outputs against declared values, reflects on its decisions, and self-corrects over time. This is structured, moral intelligence.