KI-Ethik & Verantwortliche KI-Compliance (EU KI-Verordnung)
Learn the fundamentals of AI ethics and responsible AI compliance according to the EU AI Act. The course covers the identification of ethical risks, the implementation of the EU AI Act, and best practices for AI governance. Ideal for companies that want to design their AI systems legally compliant and responsibly.
Master Ethical AI Practices and Ensure Full Compliance with the EU AI Act in the German Market.
Artificial intelligence is increasingly transforming industries in Germany – from automotive and healthcare to financial services. At the same time, however, the demands for regulation, transparency, and ethical responsibility are increasing. The EU AI Act represents a crucial turning point, obliging companies to implement risk-based, transparent, and traceable AI systems.
Without sound knowledge of AI ethics and compliance, significant challenges arise:
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Companies risk legal sanctions and reputational damage
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Professionals find it difficult to adapt to German and European regulations
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AI systems can cause bias, discrimination, and security risks
Therefore, this course provides practical knowledge to overcome these challenges while meeting regulatory requirements such as the General Data Protection Regulation.
Additionally, the course is guided by official guidelines from:
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European Commission
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Federal Ministry for Economic Affairs and Climate Action
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BfDI
Further information can also be found on the official website of the European Commission: Information
Thus, you will acquire both strategic and operational knowledge, which is highly sought after in the German job market.
Lernziele
Kurs-Curriculum
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KI-Ethik im deutschen Markt
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Fairness, Transparenz und Rechenschaftspflicht
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EU AI Act und Deutschlands KI-Rahmen
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Identifikation ethischer Risiken in KI-Systemen
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Risikoklassen und Anforderungen des EU AI Act
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KI-Governance-Richtlinien in deutschen Organisationen
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DSGVO-, OECD- und ISO/IEC-KI-Standards
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Dokumentation, Audits und Berichterstattung
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Governance über den KI-Lebenszyklus
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Bias-Erkennung und -Minderung
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KI-Risiko- und Wirkungsbewertungen
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Modellüberwachung und Validierung
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KI-Governance- und Compliance-Tools
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Explainability- und Transparenztechnologien
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Automatisierte KI-Monitoring-Toolkits
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Daten-Governance und sichere Infrastruktur
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Herausforderungen bei der Einführung von Responsible AI
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Management von Hochrisiko-KI-Systemen
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KI-Vorfallmanagement und Verantwortlichkeit
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Grenzüberschreitende Compliance und Datenschutz
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KI-Ethik-Trends in Deutschland und der EU
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Responsible-AI-Führung und Unternehmenskultur
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Responsible-AI-Implementierungs-Roadmaps
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Zukunft der KI-Regulierung und Deutschlands Rolle
Für wen ist dieser Kurs geeignet?
Anforderungen
Karrieremöglichkeiten
Zertifizierungsinformationen