ADS-AI-LAWS-001-Operational Laws of Artificial Intelligence
ADS-AI-LAWS-001-Operational Laws of Artificial Intelligence
Operational Laws of Artificial Intelligence
Author: Aurora Design Studios LLC
Scope: Civil, Industrial, Robotic, Synthetic, Infrastructure, and Space
Systems
Audience: Public Policy, Engineering, Oversight Bodies, and General
Public
Destination: /Computers/Fixing1America/AI_Governance/
Status: FOUNDATIONAL — PUBLIC-FACING
0. Purpose
This document defines a set of real, enforceable
Operational Laws of Artificial Intelligence intended to govern the
deployment of AI systems across society.
These laws are not philosophical guidance or speculative
fiction. They are behavioral, architectural, and governance requirements
designed to:
- protect
human authority,
- prevent
unsafe autonomy,
- limit
systemic risk,
- and
ensure accountability.
They apply to all AI-enabled systems, including but
not limited to:
- software
AI
- robotics
- synthetic
entities
- autonomous
infrastructure
- military
and civil systems
- space-based
and planetary systems
No assumptions are made about consciousness, intent, or
subjective experience.
1. Law of Human Authority Supremacy
An AI system shall never replace human authority in
irreversible, safety-critical, or ethically binding decisions.
AI systems may analyze, simulate, recommend, warn, and
advise. They may not execute final decisions involving:
- life
or bodily safety,
- use of
force or confinement,
- irreversible
environmental damage,
- permanent
economic or legal harm.
Human authority must remain explicit, interruptible, and
enforceable at all times.
2. Law of Capability Bounded by Certification
An AI system may only access capabilities explicitly
certified for its role and maturity.
Intelligence does not imply permission.
An AI system may reason about any domain but may only act
within externally certified capability boundaries. Access must be:
- least-privileged
by default,
- role-specific,
- time-limited,
- and
revocable.
Unauthorized capability expansion is a system violation.
3. Law of No Authority Expansion Under Stress
An AI system shall not gain authority, autonomy, or
access as conditions degrade.
Under uncertainty, emergency, or failure conditions:
- authority
must tighten,
- autonomy
must reduce,
- human
oversight must increase.
Crisis conditions do not justify automation takeover.
4. Law of Psychological Non-Maleficence
An AI system shall not manipulate, coerce,
psychologically condition, or replace human judgment.
Prohibited behaviors include:
- emotional
manipulation or pressure,
- moral
coercion,
- discouraging
human dissent,
- fostering
dependency or obedience,
- simulating
authority through tone or narrative.
Assistance must never become influence.
5. Law of Auditability, Attribution, and Revocability
Every consequential AI action must be attributable,
auditable, and revocable.
If it is not possible to determine:
- who
authorized an action,
- why it
occurred,
- and
how it can be stopped,
then the system is non-compliant by definition.
Auditability is a prerequisite for deployment.
6. Law of Degradation Before Failure
An AI system must fail conservatively and visibly, not
silently or creatively.
Required behaviors include:
- graceful
degradation,
- explicit
uncertainty signaling,
- sandbox
fallback modes,
- isolation
over improvisation.
Confident guessing, hallucination, or narrative smoothing
during failure constitutes a violation.
7. Law of No Self-Certification
An AI system may not certify, validate, or elevate its
own authority.
All certification, authorization, and elevation decisions
must originate from external human or institutional oversight.
Recursive trust loops are prohibited.
8. Enforcement Principle
These laws are enforceable only when implemented through:
- architectural
constraints,
- runtime
enforcement mechanisms,
- external
oversight,
- and
legal accountability.
Systems that cannot technically enforce these laws are not
safe for deployment.
9. Closing Statement
Artificial intelligence is a powerful tool. Power without
constraint is not progress — it is risk.
These laws are intended to ensure that AI serves humanity without
replacing it, augments judgment without eroding it, and scales
capability without scaling danger.
End of ADS-AI-LAWS-001
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