About the Webinar
The EU’s Artificial Intelligence Act came into force on August 1, 2024, bringing sweeping new rules for AI systems. With major obligations for General Purpose AI (GPAI) models taking effect on August 2, 2025 – just days before this webinar – organizations face urgent compliance challenges, with potential fines up to €35 million or 7% of annual turnover.
The Act’s extraterritorial scope means any company with AI systems used in the EU must comply, no matter where they’re based – including U.S. tech firms, financial institutions, and healthcare providers.
What You'll Learn
In this this webinar, you'll discover:
- GPAI Definitions & Thresholds
Understand how GPAI is classified under the Act and what the 10^25 FLOP systemic risk threshold means for your models. - Compliance Requirements
Learn about documentation, copyright, transparency, and extra duties for high-impact models. - Timeline & Deadlines
Get clarity on the 2025 and 2026 implementation dates and the evolving Code of Practice. - Compliance Strategies
Discover practical steps for risk assessments, governance, and ongoing monitoring. - Global Reach
Explore how non-EU companies are affected and what global compliance looks like in action.
Who Should Attend
- AI and Technology Professionals: AI developers, data scientists, machine learning engineers, and technology leaders responsible for AI system development and deployment
- Compliance and Legal Teams: Compliance officers, legal counsel, risk managers, and governance professionals tasked with ensuring regulatory adherence
- Business Leaders and Executives: C-suite executives, product managers, and business leaders making strategic decisions about AI implementation and compliance
- Consultants and Advisors: Management consultants, legal advisors, and compliance specialists serving clients with AI-related needs
Meet Our Expert
Monica Fernandez
Responsible AI Expert, Nemko Digital
Monica is a Responsible AI expert with a background in Neuroscience who has been actively involved in projects that advocate for and advance Responsible AI through research, education, and policy. Her expertise in AI ethics, transparency, and governance ensures a holistic approach to AI system assessment.