Post #435740

2026-02-21 12:09 UTC

Dr. Melanie Kolbe-Guyot discusses the current use of AI in Swiss administration and identifies key challenges that need to be addressed, such as a lack of organizational maturity, data, infrastructure, and skills. Despite many pilot projects, there are legal uncertainties and concerns about digital sovereignty and security, along with considerable FOMO. Consequently, AI applications are primarily visible in chatbots and generative AI. The talk will explore scenarios for systematical and purposeful AI use, especially where it creates public value. #Winterkongress

Replies (1)

@loleg@hachyderm.io 2026-02-21 23:54

The use of AI often focuses on enhancing internal efficiency and the application of generative AI. Citizen-oriented applications typically limit themselves to visible chatbots, often based on simple rule-based technology (ADMT), which technically is not AI, or on machine learning (ML), which learns probabilistic patterns from data. Algorithmic systems encompass both approaches and share similar risks and consequences such as bias, discrimination, and a lack of transparency. The most common use cases and motivations for AI in administration are to increase efficiency, automate repetitive tasks, and support staff. There is significant potential for optimizing case processing, improving fraud detection, and risk reduction, as well as a wide range of application possibilities. However, central challenges include data protection, surveillance issues, discrimination, a lack of transparency and explainability, and the potential for flawed decisions. Incorrect AI systems can lead to significant financial and social damage as well as a loss of public trust. Therefore, transparency, legal protection, and human oversight are crucial, especially given the direct impact on citizens' fundamental needs ...

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