Designing Fair AI: Strategies for Bias-Free Innovation

Radia, Merantix AI Campus and Women in Big Data Berlin are hosting an event to explore strategies for mitigating bias in AI: ​Designing Fair AI: Strategies for Bias-Free Innovation.
 

AI has the potential to reshape the world, but its impact depends on how responsibly it’s developed. Bias in AI doesn’t just affect marginalized groups—it undermines trust and stifles innovation. Join this meetup for an insightful discussion on building fair, trustworthy AI systems. 

• ​Katarzyna Stoltmann - Head of Data Science & AI Solutions at AstraZeneca, she is an AI expert with 11+ years of experience leading AI teams and projects. Passionate about data diversity, robotics, and multimodal communication, she also founded Women in Big Data Berlin to foster networking and support.

• ​Patrick Gilroy, Head of AI at TÜV - he accompanies EU AI Act implementation, the TÜV AI.Lab, and leads on topics and events from Trustworthy AI to Future Skills. He holds a PhD from Hertie School and Stanford University.

• ​Camila Lombana, AI Ethics Research Expert at SAP - she is focusing on responsible innovation and harm mitigation across the AI lifecycle. With a background in arts, philosophy, and media informatics, she explores ethical dilemmas in AI. She authored The SAP AI Ethics Handbook and contributed to Human-Centered AI.

• ​Discussion will be moderated by Marcela Mogilska, Founder & Managing Director of Radia. She is a Business Developer with over a decade of experience driving growth for early-stage tech startups across EMEA and APAC. Currently, she leads various initiatives to promote diversity and inclusion within the tech industry.

Registration.