Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
ChatGPT in Knowledge-Intensive Work
0
Zitationen
5
Autoren
2026
Jahr
Abstract
In this study, the authors explored the integration and impact of ChatGPT, a generative artificial intelligence (AI) tool, across three knowledge-intensive fields: coaching, information technology programming, and academic research. In a survey of 385 professionals, they examined adoption patterns, task support, and subjective perceptions of skill demands, creativity, and authenticity across ChatGPT versions 3.5 and 4. Despite domain-specific differences, ChatGPT was consistently seen as a valuable, complementary tool for structured and content-focused tasks, although not as a substitute for human expertise. GPT-4 was slightly preferred for complex use cases, but perceptions across versions were broadly similar. Domain-specific findings reveal that ChatGPT supports ideation and structuring in coaching, code review, and debugging in information technology, as well as writing and synthesis in science. These insights deepen organizations' understanding of how professionals experience AI-assisted work and highlight the evolving role of human agency in human-AI collaboration.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.393 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.259 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.688 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.502 Zit.