AI Audit

Course overview

The AI Audit is a central component of the review of AI systems for traceability and compliance. In the context of AI applications, systematic examination occurs in nearly all areas where decisions are supported by automation. An AI audit structures this examination based on understandable criteria. !Course Content !1. Fundamentals of AI Auditing *Objectives and delineation of an AI audit *Relevant audit criteria for AI systems *Process of a structured audit !2. Preparation for an AI Audit *Review of existing documentation on AI systems *Identification of audit-relevant processes *Coordination with involved parties !3. Conducting AI Audits *Examination of data foundations and models *Assessment of transparency and traceability *Recording of anomalies and deviations !4. Documentation and Follow-up of Audit Results *Preparation of the results of an AI audit *Derivation of recommendations for action *Follow-up on implemented measures !Professional Relevance *Safe handling of audit processes for AI systems *Informed assessment of the compliance of AI applications *Contribution to the traceability of AI decisions

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-12-15T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2026-12-15T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Monheim am Rhein · Blended Learning