Socio-technical AI systems are a term from the fields of Artificial Intelligence, Digital Society, and Digital Leadership. They describe AI systems that do not operate in isolation but are closely connected to people and their work or living environment. Therefore, it is not just about the technology, but also about the interplay of people, organisations, and artificial intelligence.
For example, in a modern hospital, AI software supports medical staff in making diagnoses and developing treatment plans. Doctors use the AI's suggestions as valuable assistance but continue to make the final decisions. The interplay of human expertise, experience, and the AI's data analysis makes the system particularly powerful.
Socio-technical AI systems show that successful digitalisation always requires both: smart technology and open-minded people who venture down new paths together. Companies and organisations should therefore not only invest in AI technology, but also in their employees and their collaboration with these new systems.
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