Trustworthy AI Circle - All's fair in AI, or is it?

⚖️ Trustworthy AI Circle: Putting Fairness in AI to the Test

Poll ten AI experts on what a fair algorithm actually looks like, and you'll receive ten distinct answers — each one defensible. Concepts like bias, equity, and equality still carry the caveat "it depends." Fair enough — but shouldn't we be pushing toward something more concrete?

🔍 What's This Session About?

This edition of the Trustworthy AI Circle dives into the messy, contested work of operationalising fairness in AI systems. We'll examine where different approaches converge, where they clash, and what those fault lines reveal about the assumptions embedded in the very tools we use to measure something as slippery as "fair."

🧑‍💻 Meet the Practitioners

Daniel Glinz and François-Ferdinand Bozso are actively building tools designed to make fairness evaluation more tangible and actionable. Their work is real, ongoing — and deliberately open to scrutiny. This is not a product demo. Attendees are here to stress-test their work, not applaud it. Your candid reactions, probing questions, and points of friction will directly influence what gets developed next.

🧭 Keeping the Human at the Centre

Dr. Chantelle Brandt Larsen — transformation executive, AI governance practitioner, and a relentless critic of structural and algorithmic bias — will anchor the conversation in what fairness genuinely means for the people these tools affect. With 25 years of experience designing Human + AI solutions that drive real-world outcomes, she won't let the discussion drift into abstract metrics or aesthetic dashboards. The human perspective stays front and centre.

💬 Come Ready to Engage

• 🗣️ Speak up, push back, and disagree
• 🔬 Help stress-test tools that could one day evaluate AI systems affecting all of us
• 🤝 Be part of shaping what responsible, measurable fairness actually looks like in practice

📸 By attending, you acknowledge that the event may be photographed and recorded. Images and footage may be used in promotional materials.