AI Data Protection Specialist for AI Systems

Course overview

AI Data Protection Specialists ensure that the use of AI tools in the company complies with the requirements of the GDPR. The training focuses on the data protection legal practice of AI usage, in contrast to EU AI Act compliance and overarching AI governance, which form their own areas of responsibility. Legal Classification of AI Applications Every AI usage begins with the question of the data being processed. - Recognizing personal reference: when AI usage touches on data protection law - Legal bases for processing in professional AI use - Distribution of roles between the controller and the provider of the AI service Examinations and Documentation - Structurally capturing AI applications and documenting them in the processing directory - Risk assessment and data protection impact assessment for AI uses - Reviewing agreements for data processing with AI providers - Evaluating third-country transfers and storage locations Rights of Affected Individuals and Transparency Even with AI usage, affected individuals retain their rights. - Information obligations when using AI towards employees and customers - Processing requests for information, correction, and deletion in the context of AI - Handling training and input data in AI services Practical Rules for Everyday Work - Approval lists: which data may be used in which tools - Anonymization and pseudonymization before AI use - Handling violations and reportable incidents - Creating training materials and quick reference guides for departments Collaboration within the Company - Interfaces to data protection officers, IT security, and procurement - Advising departments on new AI application requests - Regularly reviewing existing AI uses Typical Examination Cases from Practice The approach is practiced using concrete scenarios. - Evaluating the use of language models with customer data in everyday sales - Reclassifying AI functions in existing software after updates - Browser extensions and freely available AI tools in the company - Employee data in AI-supported evaluations - Prioritizing examination cases based on risk and prevalence in the company - Establishing review rhythms for already approved AI applications - Building documented template evaluations for recurring cases - Organizing coordination with employee representation in cases involving employees This training conveys how to design, document, and continuously monitor AI usage in the company in compliance with data protection regulations.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer