AI in personnel development

Basic principles of AI in personnel development and learning & development

• Introduction, functionality, opportunities and possible applications.

Overview

• Relevant AI tools and technologies.

From needs analysis to the evaluation of feedback

• Elicitation, creation and analysis of PE requirements with AI.

Personalized learning paths and adaptive systems

• How AI adapts learning content individually and dynamically.

Skills analysis and skills gap identification

• Identification of development needs and targeted support measures.

Automated content creation and knowledge management

• Creation and adaptation of learning materials and resources with AI.

Predictive analyses and performance measurement

• Use of data analyses for performance monitoring and strategic planning.

Chatbots and learning coaching

• Support for learners through AI-driven coaching and feedback tools.

Video generation and creation of interactive learning videos and quizzes

• Innovations in digital learning.

Excursus: Language models for specific tests (knowledge testing, case-based training)

• For example, through Retrieval Augmented Generation (RAG).

Importance of AI governance and AI Act (Article 4) in the context of L&D

• Ethical considerations and regulatory requirements.

Bias reduction and data protection-compliant design of AI models in the context of PE

• Techniques for the fair and safe use of AI.