Fix the algorithm. Transform the future.

AI Can't Fix What It Doesn't See.

Women are missing from the data. From healthcare to hiring, finance to search — biased AI creates real-world harm.

Women AI Labs builds the solutions, communities, and accountability we all deserve.

Run an AI Bias Audit
18,420
Women Reached
1,248
AI Audits Completed
387
Projects Launched
14
Cities Activated
22
University Partners
31
Sponsors
About Us

We are building equitable AI for everyone.

Through innovation labs, AI equity challenges, research, education, and partnerships, we identify bias, build solutions, and drive measurable impact — together.

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AI Governance 101

Jun 3 – Jun 3, 2026 Virtual
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Our Impact Dashboard View Dashboard
87%
2025 Goal
$1.84M
Raised of $2.1M Goal
AI Bias Cases Identified 742
Governance Frameworks Created 88
Scholarships Awarded 112
Mentorship Hours Logged 3,682

Innovation Labs

Popup centers across Chicago and beyond bringing communities together to build, learn, and lead.

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AI Equity Challenge

Hackathons and challenges focused on real-world AI bias with real-world solutions.

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AI Education

Courses, bootcamps, and resources preparing the next generation of responsible AI leaders.

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Get Involved

Volunteer, mentor, host a lab, or support our mission in a way that works for you.

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Our Partners & Sponsors
Our Mission

We surface bias. We build the fix. We hold AI accountable.

Every AI system reflects the people who built it. When women are absent from the data, the design teams, and the boardrooms — the system is broken before it ships. We're rebuilding it.

01

Surface the gaps.

Independent audits of public and enterprise AI systems. Open data, open methodology, no NDAs.

02

Build the alternatives.

Production-ready prototypes from our Innovation Labs — open source, equity-by-design, deployed in the real world.

03

Train the next generation.

Scholarships, bootcamps, and mentorship for the women who will write the systems we all rely on.

How It Works

From bias detection to governance change.

Audits don't fix anything. People do. Our four-step model turns research into production systems and policy.

Step 01
01

Identify

We run open audits on AI products across healthcare, hiring, finance, and public services.

Step 02
02

Convene

Researchers, builders, and impacted communities meet in our Innovation Labs to define what fair looks like.

Step 03
03

Build

Hackathons and labs ship working prototypes — open source, with documented methodology.

Step 04
04

Hold to account

We publish, partner, and push for governance changes that make fairness the default, not the exception.

Stories from the Field

Real builds. Real impact.

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