Our Certification

Build trust with certified AI systems that meet the highest standards.

Certification

Certification is the heart of FemAI. Our process doesn’t stop at evaluation—it provides clear, actionable insights through an intuitive dashboard. See detailed test results, bias analyses, and improvement recommendations for your AI tool in one place. Ready to explore? Check out our demo preview and see how we turn transparency into trust.

Assurance

Assurance is where the work begins, not ends. After certifying your AI tool, we guide your team through the next steps—offering hands-on training, tailored workshops, and ongoing support to ensure everyone understands how to harness AI responsibly. It’s not just about fixing bias; it’s about creating a culture that knows how to keep it out.

The FemAI Think Tank is where ideas take shape and drive change. Led by our founder Alexandra, one of the most sought-after speakers on AI, we bring thought leadership to global stages. Our workshops empower teams to rethink AI, while our Research-as-a-Service collaborates with leading institutions to publish groundbreaking papers. It’s not just about thinking—it’s about doing.

“We need active shapers of the digital transformations in which we find ourselves. FemAI is a key player that elevates exactly those voices that are needed now. For a radically different and more just, inclusive and sustainable digital future, actors like FemAI are our best bet”

Prof. Dr. Robert Lepenies

President of Karlshochschule International University

Dr. Robert

"We need active shapers of the digital transformations in which we find ourselves. FemAI is a key player that elevates exactly those voices that are needed now. For a radically different and more just, inclusive and sustainable digital future, actors like FemAI are our best bet"

Prof. Dr. Robert Lepenies

President of Karlshochschule International University

Chris

"In our current world where technology is often taken for granted, FemAI is a beacon of hope. As a women-owned and diversity-focused company, FemAI clearly understands the profound impact of cyber poverty and internet accessibility challenges. They don't just talk about inclusion; they actively seek out those who remain invisible in the digital landscape. Their commitment to bridging the gap and empowering individuals through technology is truly inspiring. FemAI is not just a business; they're a force for positive change in our increasingly connected world."

Cris Bradman Kittner

Chief Analyst Google Cloud

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FAQ

What is the goal of FemAI?

FemAI aims to create Artificial Intelligence that is more equitable and accountable. We focus particularly on preventing discrimination against women and marginalized groups, while also addressing regulatory compliance and the environmental impact of AI systems. By integrating an intersectional feminist perspective into AI system development, we strive to identify biases in algorithms before they can harm society, thereby promoting social justice in the digital world.

Why is it important for companies to take responsibility when using Artificial Intelligence?

A study by the Boston Consulting Group (BCG) shows that companies that handle AI responsibly experience nearly 30% fewer AI errors compared to those that don’t. Responsible AI use also brings significant business advantages: companies with mature Responsible AI (RAI) programs, regardless of their technical maturity, are twice as likely to deliver better products and services or accelerate innovation. Moreover, consumer trust has been identified as a key factor for business performance, explaining 31% of the variance in profit margins and 21% in return on investment.

What is the significance of the EU AI Act for fair and safe AI?

The EU AI Act is the first comprehensive law to regulate Artificial Intelligence in the EU. It categorizes AI technologies based on their risk and sets requirements for their use, aiming to protect consumers and minimize the risks associated with AI while promoting responsible innovation. However, FemAI has been actively involved in the EU AI Act process and criticizes the law’s approach to social and environmental justice. Certain protection requirements, such as the Code of Conduct, remain voluntary. To minimize potential harms from AI, such as deepfakes or discriminatory facial recognition, more effective methods have been developed by FemAI in collaboration with our unique ecosystem.

Why are women and marginalized groups particularly affected by AI discrimination?

AI-driven decisions often rely on historical data that reflect societal biases, which are also embedded in AI policies and business decision-making processes. As a result, women and marginalized groups are often overlooked or disadvantaged due to a combination of historical, social, and economic factors embedded in the data that AI-driven systems use. A clear example is credit scoring: AI systems frequently favor men due to biased data, providing them with better evaluations. This is closely tied to the Gender Pay Gap and factors such as the fact that 40% of women in Germany work part-time, creating metrics in AI systems that may lead to automatic discrimination against women. Such discriminatory practices in AI usage exacerbate existing social inequalities.

What does FemAI offer?

FemAI is the most trusted responsible AI brand in Europe. As your strategic partner for trust, we help you excel in the AI Age. Next to the FemAI Certfication, we offer speaking engagements, workshops and tailored research-as-a-service projects to determine how we can best build a long-term partnership. Clients such as the Federal Ministry for Culture and Media, the Auswärtige Amt, the EU Delegation in Washington, Google, HUG Coburg, zebConsulting, appliedAI +40 have worked with us.

Do you work on your own AI tool?

We are currently developing our own AI tool, DORIS, which analyzes whether AI systems align with our intersectional research. To achieve this, FemAI works closely with key stakeholder groups, including civil society, research institutions, policymakers, major tech companies, and allies in the tech startup ecosystem, to provide solutions that uncover discriminatory patterns in systems to uplift their accuracy rate potential.