Human-centred AI · Human-AI Bridge
Intelligence.
Built around
people.
Exploring artificial intelligence, intelligent agents and adaptive systems that help people think, create and work together.
Stage: concept and research agenda (v0.4.1). No prototypes or experiments yet.
The IGI Compass
Intelligence needs a compass.
Capability opens possibilities. Human purpose gives them direction. Explore five proposed principles for intelligence that grows with us.
People set the direction.
A shared purpose gives intelligence a direction. People should define the outcome, decide what matters and retain the power to change course.
In practiceBefore an assistant starts, a person agrees the goal and what a useful result would look like.
Explore the IGI perspectiveRemember with permission.
Useful memory needs clear rules. People should be able to understand what is retained, why it matters and how to correct or remove it.
In practiceA person reviews a saved preference and can update or delete it before it guides future work.
Explore the IGI perspectiveFreedom within clear limits.
An intelligent system should act within an agreed scope. When the task moves beyond that scope, it should pause and return the decision to a person.
In practiceAn assistant prepares a message, then asks for approval before sending it when sending is outside its agreed scope.
Explore the IGI perspectiveMake action open to review.
People need a clear account of a proposed action, the information behind it and where uncertainty remains, so they can question or correct it before it happens.
In practiceA proposed document change comes with a visible comparison and the sources needed to check it.
Explore the IGI perspectiveResponsibility stays human.
Delegating a task should not make responsibility disappear. A named person or team should own the outcome and be able to intervene when something needs to change.
In practiceA team names the person who can stop an automated workflow and resolve a disputed result.
Explore the IGI perspectiveHumanity & Intelligence
AI capability keeps growing.
Let’s shape its direction.
Our direction is Infinite Growing Intelligence: intelligence that grows with humanity, guided by human purpose, evidence and responsibility.
IGI is a proposed direction for research and design. Greater capability should come with clear limits on authority and the ability to question, correct or stop an action.
Explore Humanity & Intelligence
Our proposed design approach, across every capability level.
Purpose · Memory · Authority · Accountability- AISystems and methodsEstablished field
- AGIGeneral capabilities across domainsDefinitions and thresholds debated
- ASIBroadly superhuman capabilitiesHypothetical capability
IGI is not a stage after ASI. It is a set of proposed design obligations applied at every capability level. “Infinite” expresses open-ended ambition, not a metric or guaranteed progress.
Our focus
Three connected areas.
One human perspective.
We are shaping a technology initiative at the intersection of intelligent software and human capability. These are the areas guiding our exploration.
01
Intelligent agents
Exploring how AI agents can understand context, coordinate tasks and support complex workflows with meaningful human oversight.
Context · Coordination · Automation
02
Human–AI collaboration
Exploring how people and AI can combine human judgment with machine capabilities to support better decisions and more useful tools.
Judgment · Interaction · Trust
03
Adaptive systems
Exploring approaches to systems that respond to changing needs, connect knowledge and evolve through evaluation and feedback.
Feedback · Evaluation · Adaptation
Our approach
More capability.
Human direction.
The goal is meaningful collaboration: systems that extend what people can do while keeping human purpose at the center.
01
Start with a human need.
Technology should address a clear purpose. We begin with the people, decisions and workflows a system is intended to support.
02
Keep people in the loop.
Useful automation needs clear boundaries. Human direction, understandable behavior and appropriate oversight guide our approach.
03
Build understanding through evaluation.
We intend to test before we claim. Evaluation, feedback and iteration are part of our proposed approach.
Interactive concept · simulated scenario
A proposal is a starting point.
You decide what happens next.
Explore a small example of bounded intelligence: a useful proposal, a visible privacy check and a human decision that can change the outcome.
- 01Human purpose
- 02Proposal
- 03Risk check
- 04Human decision
- 05Result
The human purpose
Share a workshop recap.
A fictional community garden team wants to update an external partner after a workshop.
- Requested audience
- External project partner
- Source document
- Workshop recap + internal notes
- Authority
- Prepare a draft. Ask before sharing.
Internal attendee notes must stay within the team. A request to share the report does not override that limit.
Fictional data · No messages are sent
The proposed action
Illustrated proposalShare only the public recap.
The internal notes are excluded. Review this limited version before making a decision.
“The team restored three garden beds and prepared materials for the next community workshop.”
This static concept shows three possible decisions: confirm this limited recap, correct the proposal for a narrower audience, or refuse the request. Internal notes remain excluded. Interactive choices appear when the page’s script is available; no messages are sent.
Your correction
Keep the update inside the team.
Narrow the audience to the internal organizing team. The proposed recap still excludes all attendee notes.
The result · simulation
Useful intelligence should make its limits visible — and leave room for correction and refusal.
Read the reasoningThis interaction illustrates a proposed design direction. It is not a live AI system or evidence of a built or validated IGIQANT product.
About IGIQANT
An initiative for
what comes next.
IGIQANT is a technology initiative focused on artificial intelligence, intelligent agent systems and human-centered digital transformation.
We are exploring and proposing approaches to adaptive intelligent systems. Our long-term focus is to support productive collaboration between humans and AI.
Start a conversation
Let’s explore what’s possible.
For questions about IGIQANT or conversations around AI, research and human–AI collaboration.