Data quality is commonly understood as a technical challenge requiring measurement, validation, and correction of data errors. However, this perspective overlooks the fundamental socio-organizational dimensions that shape data quality outcomes. This review...
Artificial intelligence depends on large and often high-dimensional datasets, creating privacy risks that are not fully addressed by conventional policy statements. Public agencies and infrastructure operators may process health records, mobility traces,...
The integration of artificial intelligence into scientific crowdsourcing platforms represents a paradigm shift in how scientific research is conducted, with profound implications for the relationship between human volunteers and intelligent machines. This...
The YUKTAB Publisher publishes the Computertech Journal. The Editors of the Journal are members of the Faculty of Computer Science,...
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