Topical/Entity Audit Results

Completed audits and training data insights

A clean dashboard showing audit statistics with light gray and dark blue accents
A clean dashboard showing audit statistics with light gray and dark blue accents
Audit Summary

Overview of issues found and resolved

Side-by-side comparison of AI consensus versus audit findings
Side-by-side comparison of AI consensus versus audit findings
Visual representation of training data set audit results
Visual representation of training data set audit results
Graph showing prevented issues if integrated with AI system
Graph showing prevented issues if integrated with AI system
Data Insights

Key findings from training data audits

Who We Are at icvs

At icvs, we audit AI systems to ensure truth, compliance, and protection against misleading consensus.

A close-up of a computer screen displaying AI audit data with graphs and compliance checkmarks in dark blue and light gray tones.
A close-up of a computer screen displaying AI audit data with graphs and compliance checkmarks in dark blue and light gray tones.
Our Mission
Our Approach

We share audit results openly, highlighting issues and demonstrating how our tools prevent AI errors and narrative capture.

Audit Results

Transparent insights from AI audits and data set reviews.

Topical Audits

Completed audits highlighting AI compliance across various topics.

A clean dashboard showing audit statistics with light gray and dark blue accents.
A clean dashboard showing audit statistics with light gray and dark blue accents.
Data Sets

In-depth reviews of training data sets to ensure accuracy and fairness.

Issues Found

Prevention
Visual representation of issues discovered during AI audits with clear markers.
Visual representation of issues discovered during AI audits with clear markers.
Graphic showing how integration of our program prevents AI narrative capture.
Graphic showing how integration of our program prevents AI narrative capture.