Year: 2025
Type: article
Abstract: In the era of big data, the reliability and effectiveness of Artificial Intelligence (AI) systems are increasingly dictated by the quality of their underlying data. Inaccurate, incomplete, or inconsistent datasets can severely compromise model accuracy, introduce bias, and reduce the interpretability and trustworthiness
Author: Akanksh Reddy Chinthalapally
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410972147