#ai-governance

#ai-governance

AI is showing up in every corner of the business world - but in high-stakes fields like finance and tax, its real value isn't speed for speed's sake. It's about reducing friction, increasing accuracy and giving overworked teams the tools to focus on what matters most.

Chinese Premier Li Qiang warned that without a global consensus on AI, it could become an "exclusive game" for a few countries and companies.

Advancements are being driven by profit motives rather than a vision for public good.

As marketing teams rush to adopt AI and automation, many overlook a critical foundation: governance.

Countries must ensure they are not impeding open source platforms, as Yann LeCun advocates for collaborative international regulation of open-source AI.

"The automobile brought both convenience and tragedy. We responded with speed limits, seatbelts, and regulations—a process spanning over a century."

Ultimately, regulatory compliance is not just about avoiding penalties. It's about building AI systems that are trustworthy, ethical, and sustainable. Companies that approach AI governance this way will be the ones that come out on top.

If organizations can't capture the right data, models will fail - no matter how promising the technology, he warned.