When machines speak for us, they should know who we truly are.
AI increasingly shapes how people and organizations are understood. That picture can affect trust, choices, and opportunity. Super-Intelligent AI works on what should sit beneath it: identity, context, evidence, and a way to correct the record.
what can
be known
to see what comes first.
The Integrity connection
Integrity has to show up in how a system works.
Braxton Jarratt founded Integrity AI around a conviction: as AI becomes more capable, people should become more capable too. Technology should strengthen judgment and human connection, not make people dependent on a system.
That vision takes form in Zahari, a personal guidance system, and the Integrity Engine, a foundation for more choice and control over AI. Russell serves as Integrity’s Chief Technology Officer, helping turn that purpose into systems whose information boundaries, decisions, and context people can understand and shape.
The questions beneath an answer.
Russell’s identity and meaning work asks who or what an AI is describing, what supports its claims, where uncertainty remains, and how errors can be corrected.
Those questions put to work for people.
Integrity is developing products and an AI platform for human agency and flourishing. Russell brings his research perspective to that work. The companies have different roles, connected by his work across both.
Why representation matters
AI can tell a convincing story. Who gets to question it?
A confident summary can connect the wrong person to the wrong story. It can leave out the context that changes everything. And it can travel farther than the correction.
When AI helps mediate how someone is seen, the person it describes needs more than a polished answer. They need claims they can inspect, evidence they can trace, and a meaningful path to correct what is wrong.
Who is this about?
Names collide. Records drift. A system should know which person, organization, or idea it means.
What is missing?
A claim can be technically accurate and still mislead when it leaves out history or relationships.
What supports it?
Sources and uncertainty should be visible enough for people to inspect and weigh for themselves.
What if it is wrong?
People need a meaningful way to challenge errors, not just live with a machine’s summary.
Our working belief
A system should be able to show what it knows, name what it doesn’t, and make room for people to set it right.
The aim is not merely a more persuasive answer. It is intelligence people can examine and use without surrendering their judgment.
The work
Research in progress. Conversation in public.
Super-Intelligent AI investigates the questions beneath AI’s confident answers and invites others into the discussion.
Entity Veracity
An evolving body of work on digital identity, claims, and proof. It asks what can be verified, what remains uncertain, and how people can become legible to AI without losing control of their story.
Explore Entity VeracityA lab with the doors open.
On TikTok, Russell takes questions about AI beyond the research notebook and into a much wider conversation. Short videos, big ideas, and an invitation to think along with him.
Watch Russell on TikTok
The person behind the questions
Russell M. Wright
For more than two decades, Russell has studied how software interprets language, relationships, and intent.
His earlier work at Theme Zoom mapped the connections between words and real-world information. He co-founded Super-Intelligent AI with Kalyn Wright and now serves as CTO of Integrity AI. Across that work, one problem keeps resurfacing: a system can be sophisticated and still misunderstand the person in front of it.
At Integrity, he brings that lineage of work—from meaning to identity—to systems that can be developed, questioned, and tested with human judgment at the center.
Connect with Russell on LinkedInStart a conversation
Let's build systems that know what they don't know.
If you're working on identity, provenance, knowledge graphs, or human-centered AI, there is room for a serious conversation.