Applied artificial intelligence (AAI)

Content of AAI

• Artificial intelligence (AI) basics: historical development and most prominent current AI techniques


• AI realization & integration: development of AI solutions and their implementation


• AI for knowledge generation: extracting information from data and generating knowledge through information correlation


• Generative AI (GenAI): Generative neural networks and their application


• Prompt engineering: Human-AI communication through text and statistical-model influencing parameters


• AI for end-users: AI support at the workplace environment


• AI in process automation: Robotic process automation (RPA) and tailored process support


• AI in forecasting: Trend-extraction from historical data


• AI in diagnostics: Convolutional neural networks and their application


• AI in (scientific) research: AI-supported deduction and induction as well as sample generation and scientific document generation


• AI in cybersecurity, and artificial-intelligence safety (see CSAIS)


• Legal and regulatory aspects of AI (see TCDP)


• Assurance and audit of AI (see TAA)


• General remark re delineation of AAI content: this field undergoes a constant change; therefore, the content is frequently adapted.