From model to compliance: AI governance in light of the EU AI Act

From model to compliance: AI governance in light of the EU AI Act 

The EU AI Act sets new requirements for the development, use, and control of AI systems. In addition to technical specifications, the introduction of a robust AI and data governance framework is a particular focus. Companies must ensure that models are not only powerful, but also properly documented, monitored, and operated with high-quality, compliant data. This webinar provides practical guidance on how to design AI models and data processes in a way that allows innovation and compliance to go hand in hand. 

CURENTIS Web Seminar "From Model to Compliance: AI Governance in Light of the EU AI Act" 

Includes the following topics:

• Fundamentals of AI governance in the EU AI Act: Roles, responsibilities, and governance requirements throughout the AI lifecycle. 

• From model design to compliance: Technical, organizational, and documentary measures for compliant AI systems. 

• Data governance as a compliance component: Requirements for data quality, data management, data sets for training/testing, and their documentation. 

• High-risk AI and GPAI models: Obligations for model development, risk management, and ongoing monitoring. 

• Transparency, monitoring, and auditability: How to make model and data processes traceable and auditable. 

Who should participate?
This free webinar is aimed at compliance officers, AI and data experts, executives, and anyone responsible for governance, data management, or regulatory implementation in their company. 

Be part of this important exchange and prepare your company optimally for the requirements of the EU AI Act! 

Your moderator: Dr. Steffen Gutjahr has been Head of Business Development at CURENTIS AG since 2024. In this role, he is responsible for the strategic development of the company and promotes innovative solutions. Dr. Gutjahr earned his doctorate in artificial intelligence and has since been intensively involved in the application of AI in the financial world. With over 20 years of experience in the financial industry, he brings a deep understanding of the specific requirements and challenges of banks and financial institutions in a highly regulated environment.