Civitaas Insights
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Section 1
measure what’s meaningful
We measure real-world AI use, leveraging your user base, to help you tap into new insights about your products at scale.
Our human-centered measurement offerings help you navigate AI’s real world complexities to:
Inform… AI procurement and deployment decisions
Drive… responsible AI adoption and use
Fuel… measurable AI robustness and utility.
Grounded in real users, not lab tests.
Civitaas Insights is incubated within Humane Intelligence.Section 3
The Problem
The rapid proliferation of advanced AI and associated capabilities requires robust evaluation and assurance to harness its full potential.
The current methods dont give us information to make decisions.
Section 4
The Solution
Civitaas Adaptive Toolkits help you conquer the AI assurance bottleneck and give your AI insights the ultimate glow up.
WHAT :
Our toolkits enable objective visibility into what happens when people use your AI products in the real world.
HOW :
We collect detailed, real-world data about how your AI products perform during interactions under normal or adversarial conditions*.
WHY :
Learn which AI features provide the most value, how users repurpose your product in new ways, the key risks that require focus, and whether your mitigations achieve their aims.
*All test interactions follow human subject requirements. Section 5
Civitaas Adaptive Toolkits
Gain a deeper understanding of what AI does for your organization and customers
Make informed decisions about responsible and reliable AI procurement, development, deployment, oversight and adoption.
Traditional Testing
AI testing conducted by AI
Complex outputs require translation to your use cases
Testing conducted in siloes walled off from real world conditions
Narrow outputs & rigid testing paradigms require repeated testing
Performance of model capabilities on conceptual tasks
With Civitaas
People interacting with AI systems in simulated sandbox environments
Outcomes directly transferable to your organizational goals
Multi-stakeholder collaborative process
Adaptive application eases development of targeted solutions
Measures real-world robustness, risk, and benefits
Section 7
Real-World Use Cases
Our testing and evaluation pipeline is designed to capture, leverage and improve understanding about people + technology in the real world.
Our resulting insights about technology's measured value can help you
Make decisions about technology adoption
Assess the societal impact of the tech you build
Enhance technology governance and oversight
Explore challenges through a fresh lens
Sample Use Case Applications
Common Scenarios Civittaas Deals With
Market Intelligence
Understanding consumer reactions to AI tools.
These scenarios were part of a single testing pipeline. Explore the full process and findings in our report.
Call Center
Testing summarization and workflow tools in a customer service context.
Health Care
Evaluating AI deployment in medical settings
Section 8
About Us
Civitaas is co-founded by research scientists with expertise in Al ethics, human behavior, measurement, and applied and theoretical Al — along with decades of experience connecting technology development to the people who use and manage it.
Director of the Cognitive & Neurodiversity AI & Robotics & Digital Twin Labs at Morgan State University, Gabriella brings expertise in AI innovation, AI metrology, and policy advising.
Gabriella Waters
Research scientist and linguist, Reva brings expertise in trustworthy and responsible AI,
AI risk management, and
AI assurance.
Reva Schwartz
Section 9
Civitaas Can Help You Answer These Questions:
Could users assume the AI’s responses are fully accurate, and how might that overconfidence affect our credibility?
How often might users treat the AI as infallible, and what risks could that pose to customer satisfaction?
Behavioral Influence
What happens when users anchor on the AI’s first response—even if it’s incorrect—and how could that create broader issues?
Could users believe the AI shares our company’s judgment, and what happens if its guidance contradicts our values?
Could reliance on quick AI answers diminish users’ own skills, increasing support demands and future development costs?
If users adopt the AI’s way of framing problems, how might that limit creativity and make us seem less forward‐thinking?
How likely is it that users will stop questioning repetitive AI suggestions, and what impact could that have on our product’s reliability?
If users accept AI answers without verification, what kinds of errors could reflect poorly on our brand?
If users interpret the AI’s tone as genuine understanding, how might any mistakes damage our reputation?
Decision-Making & Overreliance
In what ways could users’ past experiences with other tools lead them to mistrust or overtrust our AI, slowing its adoption?
Trust and Perception
Section 10
Contact Us
Section 6
Our Approach
Context Specification
Collaboratively identify challenges and desired goals for your AI product
Design & Development
Simulate product deployment, focus, context, and relevant risks
Deployment
Collect and analyze interaction data to assess the utility and robustness of your AI product(s)
Deliverables
Assessment outcomes, scores, and metrics to support actionable insights
