Privacy in the Age of AI: Overcoming AI-specific Privacy Challenges for Trustworthy Systems
This workshop is dedicated to the challenges that data-driven AI systems pose with regard to data protection and privacy, while presenting first practical solutions for their mitigation.
In a time where AI systems are increasingly being used in sensitive areas such as healthcare or administration, the protection of data is not only a technical necessity, but also a regulatory and ethical obligation. The workshop offers a comprehensive introduction to the risks and requirements of AI-related privacy, as well as concrete approaches for implementing data protection measures in AI models.
Agenda
- AI-Specific Privacy Risks: Why Data Protection Matters More Than Ever,
- Privacy-Preserving Methods for AI Models: Opportunities and Challenges,
- Best Practices for Privacy in AI Systems.
We look forward to exchanging ideas with you and learning about your needs over tasty snacks and relaxed networking. Help us to adapt our offers even better to your requirements by taking part in our survey and subscribe to our newsletter to stay informed about future workshops and other activities of the IQZ Kaiserslautern.
Event Details
Date
Monday, July 04, 2025
Time
1:30 - 5:00 p.m.
Language
English
Target group
Managers, entrepreneurs and AI developers from industry, as well as AI users
Workshop style
Interactive workshop
Speakers
Alexander Ziller (Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital)
Deepak Kumar Pathak (German Research Center for Artificial Intelligence (DFKI) GmbH)
