I4S 6/2024: Machine Learning

Machine learning, the driving force behind generative AI, shows impressive capabilities—especially when expert knowledge is incorporated into the model configuration. But what does this mean for the role of humans? The prompt engineer remains essential for the effective control of AI systems. At the same time, there are many unresolved issues: From the explainability of models to ethical issues and the integration of domain knowledge. The development of energy-efficient and fair algorithms as well as the optimization of data quality are crucial for the future viability of machine learning. Find out more about the technology’s potential and various areas of application—whether automotive, logistics, food processing, or content moderation in social networks.

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