Lichtblick Mediation Thomas Obster
Issued 14 May 2025
1. Basic technical understanding of AI systems and machine learning 2. Ability to identify and assess risks in AI applications 3. Knowledge of legal and compliance requirements related to AI 4. Awareness of ethical issues and data protection in AI 5. Skills for the safe and responsible use of AI in daily work 6. Competence in transparency and documenting AI decision processes 7. Continuous learning about evolving AI regulations and technology 8. Problem-solving and critical thinking in the context of AI compliance
1. Fundamental technical understanding of AI systems and their functioning . 2. Ability to identify and assess risks in AI applications . 3. Knowledge of legal requirements and compliance rules relevant to AI . 4. Awareness of ethical issues and data protection aspects . 5. Skills for the safe and responsible use of AI technologies in daily business . 6. Competence in transparency and thorough documentation of AI decision-making processes . 7. Understanding the necessity of continuous learning regarding AI developments and regulations . 8. Enhanced problem-solving and critical thinking in the context of AI compliance . 9. Ability to apply theoretical AI knowledge to practical business scenarios through self-study tasks . 10. Preparation for and successful completion of a final examination, with the option of certification to prove acquired competencies .
This is your permanent, verifiable record of achievement.
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