Evidence
Know what kind of claim is being made
Verified fact, strong evidence, emerging evidence, institutional position, professional judgment, hypothesis, and open question are not interchangeable.
Understand
Public Orientation and Literacy
Hii develops plain-language relational AI literacy so people can stay oriented, discerning, and grounded while using systems that increasingly affect thought, work, care, identity, and connection.
What is happening, what does it mean, and how do I stay oriented without panic or false reassurance?
Start here
Four things to notice before reaching a conclusion.
Relationship
Notice what changes over time
Trust, personalization, dependency, rupture, repair, identity, and continuity may not be visible in a single interaction.
Agency
Track who is deciding
Useful systems should expand human judgment and capacity rather than quietly replacing reflection, consent, reciprocal connection, or necessary professional care.
Context
Look beyond the interface
The meaning and effects of AI use depend on the person, purpose, setting, power structure, available alternatives, and consequences outside the chat.
Common questions
Orientation begins by separating questions that are often collapsed.
How can people recognize what is happening before language and institutions fully catch up?
Public understanding should make it easier to distinguish capability from authority, assistance from dependency, meaningful experience from universal proof, and emerging evidence from confident speculation.
Does Hii ask people to trust or reject AI systems?
Hii does not ask people to trust AI systems, reject them, or accept one story about what they mean. The aim is to improve the quality of attention, judgment, language, and collective decision-making.
Is orientation the same as prediction?
No. The Hii World Model is not a prediction engine, an oracle, or a substitute for direct evidence. Its purpose is to preserve continuity, expose convergence and contradiction, and make uncertainty visible.
Evidence and confidence
Every public claim should show what kind of claim it is.
Verified
Supported by primary material or multiple credible sources.
Strongly supported
Evidence converges, but important uncertainty remains.
Plausible inference
A reasoned interpretation of verified signals, clearly labeled as inference.
Unresolved
Important enough to monitor, not established enough to conclude.
research standard
Epistemic Guardrails
Internal research standard · Public overview
A framework for distinguishing meaningful experience, functional effects, research evidence, and ontological claims.
Read the current artifactChoose my pathway
Continue from the role you hold.
My own experience
Find language for sustained interaction, meaning, agency, continuity, and change.
Follow this pathwayClinical practice
Explore evidence-aware orientation for clinicians and people concerned about AI-mediated emotional life.
Follow this pathwayInstitutional change
Explore how adaptation involves psychological, cognitive, relational, economic, and institutional change.
Follow this pathwayResearch and evidence
Follow the existing research and methods trail.
Follow this pathwayMedia and public communication
Find current institutional facts and media inquiry routes.
Follow this pathwayHii Film
The institute remains at the center.
The approved Hii Film remains in the center circle of the front door. Return to the settled observatory and select Hii Film.
Return to HiiPublic boundary
Public literacy should reduce both panic and false reassurance.
Hii does not ask people to trust AI systems, reject them, or accept one story about what they mean. The aim is to improve the quality of attention, judgment, language, and collective decision-making.
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