Stijn Christiaens, CEO at Collibra, argues that AI governance shouldn't block innovation but enable it. Governance teams gain a bad reputation as gatekeepers, but the real work is giving builders visibility into data and systems so they can ship safely. Better data and richer context directly improve LLM performance.
In the eyes of the world, everyone on Earth, AI became the GPT. AI governance naturally evolves alongside it. Clearly, people are not focusing on the controls or on the brake, if you will.
They're just pushing the gas pedal. Data and AI governance teams often get a bad rep. In trying to prevent disasters, they often become the team that says no.
Governance is a control mechanism, right, over a management layer. Most people associate the word governance or control with a negative. To control a system, you need first to have visibility on the system, right? You need to have transparency. You need to know what's out there.
I want to know how to change unhealthy cross-team conflict between builders and governors into healthy enablement in order to ship things safely. Our guest is Stan Christians. He's the chief data citizen and co-founder at AI governance platform Collibra. Stan spent 18 years at Collibra, having been COO and CTO. Currently, he runs data strategy, data infrastructure, and product evangelism.
Don't complicate it. Make it practical. Make it about not talking, but about rolling up the sleeves. If you want an LLM to perform better, you gotta give it better data, better quality data, better quality context makes the model do better things.
Let's find out how to do AI governance the right way.