Real-World Projects Driving Fair and Transparent AI

Promoting transparency and equity in AI systems and algorithms.

a computer chip with the letter a on top of it
a computer chip with the letter a on top of it
Turning Principles into Practice

FairFrame AI doesn’t stop at awareness—we actively apply our expertise to reshape how AI systems are designed, tested, and deployed. Through strategic initiatives, we engage with real users, communities, and institutions to challenge bias at its source. These initiatives allow us to co-create fairer systems alongside those most impacted.

From pilot audits to public education efforts, our initiatives serve as real-world testbeds for equity-driven AI development.

Current Initiatives

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a blue and white abstract background with circles
Bias in Career Copilots

Partnering with workforce tech platforms to audit AI-based career guidance tools for gender and leadership bias.

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a close up of a white wall with wavy lines
white concrete building during daytime
white concrete building during daytime
Equity in AI Triage Tools

Working with healthcare orgs to evaluate patient-facing bots for racial or language-based misclassification.

Fair Futures in EdTech

Auditing educational recommendation engines to surface underrecognized potential in marginalized students.

Impact

Improving visibility of leadership roles for underrepresented users

Impact

Ensuring fair engagement and diagnosis across demographic groups

Impact

Expanding access to STEM and high-growth careers for underrepresented learners.

white and gray optical illusion
white and gray optical illusion
a black and white photo of snow on the ground
a black and white photo of snow on the ground
Community Listening Labs

Hosting feedback workshops with affected communities to understand real-world impact of algorithmic decisions.

Impact

Informing tool design and audits with lived experiences.

LLM Fairness Sandbox

Open testing ground for developers to analyze and correct prompt bias in large language models (LLMs).

Impact

Empowering ethical AI builders with hands-on evaluation methods.

Pilots & Case Studies

After engaging with FairFrame's audit initiative, a major career platform re-evaluated its recommendation logic. Lisa, once overlooked for executive roles, now receives growth-aligned suggestions that match her true potential.

Lisa’s Career Path
Bilingual Patient Access

In a healthcare pilot, FairFrame’s bias evaluation revealed that non-English-speaking patients were often routed to lower-priority care bots. The org revised its triage model—and improved health access for thousands.

In the Pipeline

A self-paced learning track focused on AI bias for civil society organizations.

Ethical AI Curriculum for Nonprofits

A lightweight plugin that flags questionable AI responses and guides users to challenge bias.

A community space to co-create open-source standards for evaluating AI fairness across sectors.

Bias Tracker Browser Extension
Open Fairness Standards Forum

Ways You Can Make a Difference

Be Part of the Movement for Ethical AI

Learn & Share
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person in blue denim jeans sitting on bed with laptop

Explore our educational resources and share them with your networks. Awareness is the first step to action.

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two woman sitting near table using Samsung laptop
person in blue long sleeve shirt using black Surface
person in blue long sleeve shirt using black Surface
Contribute Your Expertise

Are you a data scientist, engineer, or social researcher? Volunteer your time or collaborate on open-source fairness tools and audits.

Use your voice to raise awareness about algorithmic bias. Share our findings, stories, and tools with your community, workplace, or classroom.

Advocate & Amplify
person using laptop
person using laptop
woman in white hijab sitting beside man in red crew neck t-shirt
woman in white hijab sitting beside man in red crew neck t-shirt
four people watching on white MacBook on top of glass-top table
four people watching on white MacBook on top of glass-top table
Partner with Us

Schools, nonprofits, and public institutions can co-create fairness frameworks, training, or audit processes with us.

Share Your Story

Have you or someone you know been impacted by biased AI systems? Your voice matters. Submit your experience to help shape our future initiatives.

Fund Innovation in Fairness

Support the development of open-source tools, community-led research, and equity-driven AI audits. Every contribution—big or small—helps us challenge bias at scale and build a more just digital future.

Driving Change from Code to Community

Active Research Collaborations

Partnering with academic institutions and think tanks to explore the root causes of algorithmic bias. We co-develop methods to detect, measure, and mitigate unfair outcomes across AI systems and datasets.

Pilot Projects & Real-World Impact

Applying our tools and audits in real-world environments—from education to hiring systems—to uncover bias, improve transparency, and support more equitable decision-making.

Policy & Standards Advocacy

Contributing expertise to AI governance efforts by participating in public consultations, ethical standard-setting, and fairness frameworks at national and international levels.

Community Listening Sessions

Hosting inclusive listening forums with underrepresented communities to shape the future of our tools, audits, and priorities through lived experience and real-world feedback.

Upcoming Programs & Events

Offering public-facing events like webinars, workshops, and open audits that invite collaboration, education, and deeper engagement with AI fairness practices.

AI Fairness Innovation Fund (Coming Soon)

Launching a small-grants program to support grassroots projects, student researchers, and community organizers working to build a fairer AI future from the ground up.

At FairFrame AI, action goes beyond advocacy. Our initiatives span research, real-world testing, community engagement, and policy influence—each designed to challenge bias, advance equity, and make AI systems truly accountable. Here's how we're making fairness tangible at every level.