Gunay Kazimzade PhD. is one of the rare voices working on AI governance, years before ChatGPT existed, which is exactly why she has a PhD focused on why AI is biased in the first place.

In this #31CDataTalk Podcast, Gunay shared with Yaron Sagi our CMO how it all started. She started researching AI bias back in 2018, chasing hard questions:

1. Why do facial recognition systems fail people of color?

2. Why do recruitment models discriminate against women?

3. Why does predictive policing skew against underrepresented communities? That research became her PhD, and it sat her at the table with the EU's Ad Hoc Committee on Artificial Intelligence back in 2020, helping define the earliest drafts of what became the EU AI Act.

Today she's AI Governance Advisor at Siemens Energy, having previously done the same work at Mercedes-Benz AG, guiding decision-makers across 90+ countries and 100,000+ employees on how to innovate with AI without breaking the law, or breaking people.

In this episode, we talk about:

- Why she believes AI governance isn't a bureaucratic brake but is quietly becoming the new AI strategy

- Her theory that AI bias isn't a technical bug, it's a mirror of us and our historical data

- Why agentic AI is making bias harder to catch, since there's no longer a human in the loop to catch it

- What it was actually like sitting in the room when the EU AI Act was first being drafted

- The real difference between innovating fast and innovating responsibly, at enterprise scaleIf you want to understand where AI regulation and AI ethics are actually headed, and hear it from someone who was doing this work before it was fashionable, this one is worth your time.