#1 AI Brand for Human Rights
Scaling AI for Europe. Serving humanity. Research-First.
Scaling AI for Europe. Serving humanity. Research-First.
Applied AI research to scale AI for the true benefit of humanity.
We help organizations translate responsible AI theory into practice, We developed an award-winning research approach to make fairness in AI measureable. If you struggle with assessing the risk of AI in your context – it might be clever speaking to us.
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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 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.
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.
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.
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.
As your strategic partner for trust, we help you excel in the Age of AI. We offer workshops and tailored research-as-a-service projects to solve your challenges with fairness in AI. 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.
Fairness in AI has no one-size-fits-all solution. That’s why most of our projects are tailor-made. Tell us about your challenges by email — and let’s see how we can help.
