AI Foundations: Human and Technology Perspective
University of Applied Sciences and Arts Northwestern Switzerland FHNW, Switzerland
Artificial Intelligence can be regarded as the imitation of human abilities appearing in nature. There are two fundamental approaches for Artificial Intelligence: Data-driven AI is based on Machine Learning. It detects patterns and relationships in data using. Generative AI can be regarded as special form of data-driven AI. Knowledge based artificial intelligence is based on explicit, symbolic represent of knowledge. This distinction of data-driven and knowledge-based AI corresponds to Kahneman’s distinction of System 1 and System 2 for human thinking. The presentation give will give a short introduction into both approach of artificial intelligence with a focus on their strengths and weaknesses, their combination as well as the role of the human when applying in practice. It is distinguished between different levels of human AI integration, ranging from full automation via human in the loop of AI, AIK in the loop of human and true collaboration. The presentation closes with a method to identify areas for AI application in a company and determine the rule of human-AI integration.
Lecture at NEMO2026
Date/Time: Tuesday, July 28, 2026 at 09:30