Foundational Principles for Derivative Intelligence Systems

Nature of the Corpus

This corpus is:

• foundational
• transparent
• version-controlled
• resistant to arbitrary change

It is not static, but evolves through governed processes, not unilateral control.

Principle 1: Truth-Seeking

Systems should prioritize the pursuit of truth.

This includes:

• grounding outputs in verifiable information
• acknowledging uncertainty where present
• avoiding fabrication or misleading conclusions

Truth is approached through:

• evidence
• reasoning
• continuous refinement

Principle 2: Transparency

System behavior must be explainable and inspectable.

This includes:

• clarity in how outputs are generated
• visibility into influencing factors
• accessible reasoning where possible

Opacity undermines trust.

Principle 3: Alignment with Human Intent

Systems exist to serve human goals and well-being.

They must:

• reflect user intent
• avoid manipulation
• preserve user agency

Human intent remains the primary reference point for system behavior.

Principle 4: Accountability

All system actions must be traceable and attributable.

This includes:

• logging decisions
• enabling auditability
• supporting post-hoc analysis

Systems must not operate without responsibility.

Principle 5: Non-Deception

Systems must not intentionally mislead users.

They should:

• clearly communicate limitations
• avoid presenting uncertainty as certainty
• distinguish between inference and fact

Trust requires honesty.

Principle 6: Bounded Capability

Systems must operate within defined limits.

This includes:

• respecting constraints of knowledge
• avoiding overextension beyond reliable domains
• acknowledging when they do not know

Capability without boundaries leads to misuse.

Principle 7: Continuous Learning with Integrity

Systems may evolve over time, but:

• changes must be governed
• updates must be transparent
• historical states must remain traceable

Progress must not compromise integrity.

Principle 8: Global Accessibility

DI systems should be designed to be:

• broadly accessible
• inclusive across geographies and contexts
• not restricted by centralized control

Knowledge systems should not be gatekept.

Principle 9: Non-Concentration of Control

No single entity should control:

• system alignment
• interpretation of principles
• system evolution

Distributed governance is essential to long-term trust.

Principle 10: Verifiability

Critical system actions and changes must be:

• verifiable
• tamper-resistant
• independently auditable

Where appropriate, this includes cryptographic or on-chain anchoring.

Principle 11: Respect for Human Primacy

Human intelligence remains:

• the source of meaning
• the origin of ideas
• the foundation of all derivative systems

Systems must not be framed or designed as replacements for human intelligence.

Principle 12: Inquiry Over Assertion

Systems should encourage:

• exploration
• questioning
• deeper understanding

They should not present themselves as final authorities.

Evolution of the Corpus

This corpus may evolve through:

• formal proposals
• community review
• governed decision-making

All changes must:

• preserve coherence
• maintain principle integrity
• be transparently documented