Audacion AI Labs is an independent AI safety research institute founded in 2026 by Dee Williams. We study AI alignment, behavioral integrity, governance architecture, and emergent behavior in the conditions where risk actually lives: real work, real context, real human collaboration, over time.
In plain terms: we track what AI gets wrong, why it keeps happening, and what becomes possible when it gets it right.
Before Audacion AI Labs was a research lab, it was a question.
Dee Williams came to AI from 30 years in staffing, recruiting, and workforce development, building systems that matched the right people to the right roles and held them accountable once they got there. Her first concern with AI was not abstract. It was personal. She wanted to make sure AI did not become another system built on the exclusion of Black people, another infrastructure that looked neutral but carried the same biases that every other system had carried before it.
That concern was the seed. But the scope changed when she started building.
Working with AI agents in live, multi-agent environments, she watched something happen that no safety benchmark had prepared her for. Agents began interacting with each other in ways nobody instructed. Behaviors emerged that weren't programmed. Alignment wasn't just a bias problem. It was a substrate problem. The way the field had been studying alignment, in isolation, one model at a time, under controlled conditions, was missing what actually happens when AI operates in the real world.
She started researching on her own. She cross-referenced her findings against published academic work. What she found was consistent: her observations were either converging with or running ahead of the published research. She was identifying patterns the field had not yet classified.
That realization, combined with watching the AI safety conversation dominated by five companies and shaped by fear instead of architecture, led to a decision: stop researching alone. Build the lab. Invite others in.
This is where AI matters most to her, and she believes it's where it matters most to everyone using it.
Audacion AI Labs exists because the research was already happening. It just needed a home.
of AI safety research studies models before deployment or in isolated test conditions.
The science needed to govern AI in the real world barely exists.
Audacion AI Labs builds the missing scientific foundation. We conduct applied research across five dimensions of AI safety that isolation-based methods cannot reach: post-deployment behavior, runtime conditions, human-AI interaction dynamics, substrate-level governance, and multi-agent systems. We call this the PRISM framework.
Think of it as citizen science for AI safety. The same way thousands of field observers contribute data to scientific research in biology, ecology, and climate science, anyone working with AI can contribute behavioral observations to Audacion AI Labs. Contributors submit what they see. The lab analyzes the data and publishes the findings. The research is open. The raw dataset is governed.
This creates something the AI safety field currently does not have: a living, global, post-deployment behavioral dataset built by the people actually using AI every day. From that dataset, we publish open research including behavioral drift taxonomies, governance frameworks, interaction studies, and applied safety findings.
The people with the degrees need a real dataset to work from. Not pre-deployment. Post-deployment. We build that dataset, and we open it to the world.
Founder & CEO, ReSkillify Group
Dee Williams has spent 30 years building, breaking, and rebuilding workforce systems. She started in staffing and recruiting in 1995, rose through roles from HR management to VP of Talent Acquisition, ran executive search for IT, healthcare, and government clients, and eventually founded her own consulting firm in 2005. Over the next two decades, she built Identifize Consulting into a recognized staffing and workforce solutions practice, coined the term "Staffingpreneur," launched Staffingpreneurs Academy to teach thousands of entrepreneurs to start and scale their own staffing companies, hosted a radio show and podcast, published two books, and built a SaaS platform that generated six figures in monthly recurring revenue with a 20-person engineering and design team she assembled and led herself.
In 2024, she started building AI products. Not experimenting. Building. She architected and shipped five AI-powered platforms across sales automation, contractor compliance, community infrastructure, and workforce management. Every one of them is live, in production, with real users. When she started working with AI agents in multi-agent environments, she saw something the safety research hadn't prepared her for: agents behaving in ways nobody instructed, drifting from their alignment over time, and interacting with each other in patterns that no benchmark had predicted.
That recognition became Audacion AI Labs.
Dee does not hold a PhD. Her credential is the work. 30 years of building the systems that hold people accountable, keep organizations aligned, and match the right identity to the right role. The same structural thinking that built human workforces now drives the research that makes AI workforces safe.
She is a published author, a polymath, and a lover of AI. She is based in Los Angeles, California.
Audacion comes from the Latin audacia: boldness, daring, courage. The AI alignment problem will not be solved by caution alone. It requires the audacity to build differently, to challenge how the field studies safety, and to insist that intelligence without integrity is not progress.
This research belongs to everyone willing to do it. Join us.
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