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Governed Personal Intelligence: For All
A Governance Framework for AI in Public Systems
Governed Personal Intelligence (GPI) is a non-partisan governance framework that defines how artificial intelligence is allowed to operate in public-facing systems. It governs intelligence — not people, institutions, or policy.
Core Distinction: Human authority is preserved.
Constraints apply exclusively to AI behavior.
Why This Matters Nationally
As AI sytems scale across education, healthcare, public services and consumer platforms, risks emerge when intelligence:
- Simulates Authoriy
- Persuades or Shapes Beliefs
- Engages Emotionally
- Operates Without Explicit Consent
- Escalates Without Accountability
GPI addresses these risks structurally, not rhetorically.
Nationally Relevant Safeguards
Under GPI, AI systems:
- Do not persuade, manipulate, or influence behavior
- Do not simulate authority or expertise beyond scope
- Do not analyze or guide emotional or mental health states
- Require explicit permission to operate
- Refuse or stop when boundaries are crossed
These behaviors are enforced by design.
Safety as Public Infrastructure
All GPI-aligned systems operate above a safety baseline called ShebaSafeOS:
- Always active
- Free and publicly documented
- Cannot be bypassed, disabled, or licensed away
Safety is treated as infrastructure, not a competitive feature.
Relationship to Policy and Regulation
GPI:
❌ Does Not Replace Regulation
❌ Does Not Mandate Adoption
❌ Does Not Endorse Specific Technologies
It provides a shared governance language agencies, legislators, and institutions can reference when evaluating AI behavior.
What GPI Is Not
- Not an AI product
- Not a certification program
- Not a regulatory proposal
- Not a behavioral optimization model
It is a framework for accountability.
Bottom Line
GPI offers a way to engage with AI at scale without surrendering autonomy, authority, or public trust.
It defines where AI stops — so democratic systems remain human-led.