AI in personnel development

Fundamentals, Tools, and Applications of AI in L&D

• An introduction to how it works, its opportunities, and key areas of application.
• An overview of relevant AI tools, technologies, and typical L&D scenarios.

Needs Assessment, Competency Management, and Personalization

• AI-driven analysis of PE needs and the identification of targeted development measures.
• Identifying skill gaps and conducting competency analyses.
• Development and dynamic adaptation of individualized learning paths using AI systems.

Learning Content, Knowledge Management, and Innovative Formats

• Automated creation, customization, and structuring of learning materials and knowledge resources.
• Use of AI to create interactive formats such as educational videos, quizzes, and exam content.
• Side Note: Use of language models and Retrieval-Augmented Generation (RAG) for training and testing scenarios.

Analysis, Evaluation, and Strategic Management

• Using predictive analytics to measure success and support strategic planning in L&D.
• Analysis of learning, usage, and feedback data for continuous optimization.

Learning Guidance, Coaching, and Support Systems

• Use of chatbots and AI-powered coaching tools to provide personalized learning support.
• Automated feedback and support during the learning process.

Governance, Ethics, and Regulatory Requirements

• The Importance of AI Governance and the Requirements of the EU AI Act in the Context of Human Resources Development.
• Measures to reduce bias and ensure that AI systems are designed in a fair manner and in compliance with data protection regulations.