Every year, the AI4Her Awards spotlight women from across Benelux who are shaping AI with purpose — building solutions that advance sustainability, health, innovation, education, and inclusion. This year’s Top
Empowering diverse leaders to drive responsible AI innovation.
We build our community to drive innovation and inclusion across four essential pillars.
A 4-month mentorship journey connecting women pursuing careers in AI with seasoned industry leaders to build leadership skills & accelerate growth.
Hands-on masterclasses and online learning modules designed to equip diverse leaders with the latest AI skills and applications.
Helping women founders take their AI startup ideas from concept to market through our 10-week accelerator program.
Local hubs where AI enthusiasts come together to learn, network, and grow through panels, discussions, and community events.
From local meetups to global summits, there’s always something happening.
We are a network of diverse leaders, working together to drive responsible AI innovation, champion diversity, and advocate for inclusive policies in the tech industry.
Our mission is to empower everyone to create accessible and inclusive AI that solves the biggest challenges for women, planet earth, our health, and the future youth. We do this by empowering diverse voices, fostering collaboration and innovation, and shaping a more responsible and equitable future with artificial intelligence for all.
Stay updated with the latest trends, stories, and breakthroughs in AI.
Every year, the AI4Her Awards spotlight women from across Benelux who are shaping AI with purpose — building solutions that advance sustainability, health, innovation, education, and inclusion. This year’s Top
Jacqueline Kazmaier’s journey from language-loving engineer to AI healthcare innovator is a powerful example of how technology can serve the public good. As co-founder of Autoscriber, she’s building AI tools
At the 2025 AI4ALL Summit, thought leaders, innovators, and change-makers gathered to explore how we can build an AI future that’s ethical, inclusive, and human-centered. From discussions on data bias
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