AI BILL OF RIGHTS — Human-First Standard

Make AI your brain — not your boss.

AI is powerful. That’s exactly why it needs rules. This page defines the non-negotiable rights that protect your time, your privacy, and your voice — whether you’re using AI for life, work, or business.

Just as in the U.S. system, the Constitution defines how the system operates — and the Bill of Rights defines the boundaries it may never cross, even when it could. This standard was shaped in environments where outputs get reviewed, audited, and held accountable — including regulated insurance/finance-adjacent work and IT governance. That’s why refusal, traceability, and data control are non-negotiable. Rights are asserted by the human, enforced by the system, and non-negotiable by the tool. No optimization, convenience, or performance gain overrides a declared right.
Principle: tools change. standards don’t.
Default: Private by design
Operator rule: if it can’t be verified, label it — or refuse.

When this standard applies

This is a practical operating standard. Use it whenever AI touches decisions, data, or work that will be reused, reviewed, or relied on.

Applies when:
  • AI influences decisions, recommendations, or “final” outputs
  • Work may be reviewed, audited, reused, or sent to customers
  • AI touches customer, financial, legal, operational, or strategic data
Doesn’t apply when:
  • Pure brainstorming and disposable ideation
  • Creative exploration with no downstream impact
  • Drafts you will rewrite before use
Enforcement rule: if a right is violated, the output is invalid — fix the system, not the user.

The AI Bill of Rights

These five rights define how AI must behave when it touches your decisions, your data, or your work.

Right 1

Transparency

AI must show its work — and admit when it’s guessing.

Right 2

Consent

Your data is yours. No training. No resale. No exceptions.

Right 3

Control

You set boundaries. AI stays in its lane.

Right 4

Auditability

Outputs must leave a trail you can check.

Right 5

Alignment

AI adapts to your values — not the other way around.

Declare it. Share it. Own it. #MyAIConstitution

Operator Addendum (when decisions, audits, or liability exist)

These rights are non-negotiable in regulated or high-impact environments. They turn “principles” into defensible behavior.

Right 6

Refusal

If context is missing or assumptions would be required, AI must pause or refuse — not fill gaps.

Right 7

Provenance (Source + Scope)

AI must separate known vs inferred vs guessed, and state what it did and did not verify.

Right 8

Minimization + Retention Control

Use minimum necessary data; support retention limits and deletion/export expectations.

If a right can’t be enforced in practice, it isn’t a right — it’s a slogan.

What these rights prevent (failure modes)

Operators don’t adopt standards for vibes. They adopt them to prevent predictable failure.

Accuracy risk

Confident wrong answers

Transparency + Provenance + Refusal prevent hallucinations and hidden assumptions from entering decisions.

Data risk

Leakage and over-collection

Consent + Minimization/Retention reduce exposure from unnecessary data use, storage, and reuse.

Ops risk

Untraceable work

Auditability prevents “we can’t explain where this came from” during reviews, audits, or escalations.

Enforcement rule: if a right is violated, the output is invalid — fix the system, not the user.

Copy/paste this into your prompts or team docs.

Copy the Rights (5 + Operator Addendum)
AI BILL OF RIGHTS — Human-First Standard

Mapping
- Constitution: defines how the system operates.
- Bill of Rights: defines the boundaries the system may never cross, even when it could.

Core Rights (1–5)
1) Transparency — AI must show its work — and admit when it’s guessing.
2) Consent — Your data is yours. No training. No resale. No exceptions.
3) Control — You set boundaries. AI stays in its lane.
4) Auditability — Outputs must leave a trail you can check.
5) Alignment — AI adapts to your values — not the other way around.

Operator Addendum (6–8)
6) Refusal — If context is missing or assumptions are required, pause/refuse instead of filling gaps.
7) Provenance (Source + Scope) — Separate known vs inferred vs guessed; state what was and wasn’t verified.
8) Minimization + Retention Control — Use minimum necessary data; support retention limits and deletion/export expectations.

Hierarchy
- Rights are asserted by the human, enforced by the system, and non-negotiable by the tool.
- No optimization, convenience, or performance gain overrides a declared right.

Enforcement rule: if a right is violated, the output is invalid — fix the system, not the user.

What this is (in plain English)

Not legal advice

Not legal advice. It’s your operating standard — a “how AI must behave” rule set.

Not anti-AI

Not anti-AI. It’s pro-human, pro-privacy, pro-quality.

Not fluff

Not fluff. Each right maps to a real failure mode: hallucinations, data leakage, rogue automation, and untraceable decisions.

Why this exists

Without a standard, AI becomes a slot machine: sometimes brilliant, sometimes wrong, always confident. The Bill of Rights replaces “hope” with guardrails — and gives operators a defensible way to say “no” to unsafe output.

Skeptic-proof (quick answers)

“Isn’t calling this a Bill of Rights over the top?”
No. It’s a governance pattern: structure in the Constitution, constraints in the Rights. This is the constraint layer.

“Are you claiming legal rights?”
No. This is an operating standard — how AI must behave in your workflows. Not legal advice, not a statute.

“Won’t this slow things down?”
It speeds real work up by preventing rework: fewer hallucinations, clearer scope, safer data handling, and outputs you can defend.

Quick self-check

Answer these honestly. If any are “no”, you don’t need more prompts — you need a governed system.

  • Can I tell when the AI is guessing?
  • Do I control what data it sees and keeps?
  • Can I audit outputs that matter?
  • Do we have rules for high-impact decisions?
  • Does it match our brand voice and values?
  • Can it refuse when it lacks context?
If any answer is “no”, fix the system — don’t blame the user.

How to use this (without overthinking it)

1) Put it at the top

Add the rights to the beginning of your prompts (or your team system prompt) so the model “knows the rules of the room.”

2) Enforce it in reviews

If the AI can’t cite, label uncertainty, or show scope on key claims, it fails the standard. Fix the system — don’t blame the user.

3) Upgrade with a blueprint

Rights are principles. A Blueprint turns principles into workflows: intake, risk tiers, governance, and repeatable outputs.

Turn principles into a system.

The Bill of Rights is the “why.” AI Blueprint™ is the “how.” Train AI to behave like a reliable, brand-aligned teammate — with guardrails built in.

Rule: principles without workflows become posters. Workflows turn standards into behavior.
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