| Autor: |
Davison, Robert M., Chughtai, Hameed, Nielsen, Petter, Marabelli, Marco, Iannacci, Federico, van Offenbeek, Marjolein, Tarafdar, Monideepa, Trenz, Manuel, Techatassanasoontorn, Angsana A., Díaz Andrade, Antonio, Panteli, Niki |
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| Zdroj: |
Information Systems Journal; Sep2024, Vol. 34 Issue 5, p1433-1439, 7p |
| Abstrakt: |
This article explores the ethical concerns surrounding the use of generative artificial intelligence (GAI) for qualitative data analysis. The authors raise issues related to data ownership, privacy, biases, and the responsibilities of researchers. They argue that relying solely on automated systems for data analysis can lead to biased and incomplete results, and stress the importance of human insight and understanding in research, particularly in areas of marginalization and oppression. The article calls for the development of ethical guidelines to address these concerns and ensure the integrity of qualitative data analysis using GAI. [Extracted from the article] |
| Databáze: |
Complementary Index |
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