Live
On-demand

AI Explained: What the EU AI Act Really Means

October 3, 2024
10AM PT / 1PM ET
Registration is now closed. Please check back later for the recording.
This webinar has been cancelled at this time due to unforeseen circumstances.
Virtual fireside chat image for 'AI Explained: What the EU AI Act Really Means' with industry experts, with a play button icon indicating video content.

The EU AI Act was passed to redefine the landscape for AI development and deployment in Europe. But what does it really mean for enterprises, AI innovators, and industry leaders? In this fireside chat, we’ll provide actionable insights to help organizations stay ahead of the EU AI Act, from understanding risk implications to meeting transparency requirements, while advancing responsible AI practices. 

Register for this AI Explained to learn: 

  • A clear breakdown of the EU AI Act's requirements and guidance on navigating compliance
  • Insights into how the Act fosters ethical AI innovation and responsible AI development
  • Practical steps for aligning AI strategies with the new regulations to stay competitive

AI Explained is our AMA series featuring experts on the most pressing issues facing AI and ML teams.

Can’t attend live? You should still register! Recordings will be available to all registrants after the event.

Featured Speakers
Kevin Schawinski
CEO and Co-Founder
at
Modulos AG
Kevin Schawinski is a former astrophysicist with a distinguished career at Oxford, Yale, NASA, and ETH Zurich. Today, he is the Co-Founder and CEO of Modulos AG, where he leads the mission to develop and operate AI products and services in a newly regulated era through the Modulos AI Governance Platform. He is also a recognized thought leader and public speaker on AI governance and regulation.
Krishna Gade
Founder and CEO
at
Fiddler AI
Krishna Gade is the Founder and CEO of Fiddler AI, where he is building the control plane for AI systems — helping enterprises monitor, evaluate, and control models and autonomous agents in production. Previously, he time at Microsoft working on search ranking for Bing, and later led data and machine learning teams at Twitter and Pinterest. He is most known for his work on AI Explainability at Facebook/Meta and these days he is now focused on making AI systems trustworthy, scalable, and production-ready for the enterprise.
Responsible AI