IHEAGI.com

Instrumented Human Embodiment (IHE) as a constrained, consent-based framework: simulation and discovery first, human interpretation before action.

Concept anchor • no demos • no product claims • no surveillance

Judgment cannot be automated.

Many systems can simulate, optimize, and generate hypotheses at scale. But deciding when not to act—under uncertainty, moral ambiguity, power asymmetry, or unclear consequence—remains a human responsibility. IHEAGI formalizes that responsibility as an interpretation boundary: AI expands possibility; humans decide meaning, risk, and restraint.

Read the paper View the boundary architecture

Position: IHEAGI is agnostic on whether “AGI” is achievable. The framework remains necessary even if computers never instantiate human consciousness.

Paper (PDF)

Put the PDF(s) in /pdf. If you rename files, just update the links below.

P

Instrumented Human Embodiment: A Transitional Substrate for Grounded Artificial General Intelligence
Core framework + appendices (PDF)
Open PDF Download

What this is: a constrained research direction focused on grounded experience signals (uncertainty, hesitation, deferral, consequence sensitivity) and auditable governance.
What this is not: a claim of achieved AGI, a product, or a proposal for mass data collection.

Boundary architecture

The central idea is a stable division of labor: machines expand options; humans retain interpretive authority.

1

Simulation & world models
Predict dynamics, run internal rollouts, explore “what could happen next.”
2

Hypothesis expansion
Generate and rank possibilities faster than human teams can.
3

Human interpretation layer (IHEAGI)
Interpret meaning, weigh second/third-order consequences, and decide restraint vs action.

Key clarification: humans are not trainers or reward sources here—humans are the boundary that prevents proxy optimization from substituting for judgment.

Scope and boundaries

IHE is proposed as a transitional substrate between language-trained systems and premature autonomy. The purpose is disciplined experience acquisition—especially signals that language-only training systematically lacks.

✓

Focus
Uncertainty calibration, appropriate deferral, consequence awareness, cross-domain transfer, and constraint compliance.
×

Non-goals
Surveillance-based collection, covert observation, value “encoding,” broad autonomous deployment, or performance-at-any-cost optimization.

If you later add supplementary PDFs (appendices, talks, citations), place them in /pdf and list them on this page.

Why reference WIMTBH

IHEAGI does not attempt to instantiate or replicate human consciousness in silicon. It treats consciousness as a reason to preserve a human interpretation boundary: systems can be extremely capable without having human-like lived experience or moral responsibility.

For a science-informed perspective on the human condition—salience, fear, pain, emotion, belief, power/control, and mortality—see: wimtbh.com

Practical takeaway: even if machines become better simulators and discoverers, they should not be treated as the final authority on whether an action is warranted.

Contact

Use a dedicated research email if you want citations, academic discussion, or collaboration inquiries.

[email protected] Back to top

If email is not configured yet, keep the button and update later.