
Artificial intelligence (AI) has revolutionized the world of data analysis and made it possible to handle vast quantities of complex information quickly and accurately. However, the effectiveness of AI analysis largely depends on the quality and quantity of the data used to train and test the algorithms. Collecting sufficient data without bias is essential to improve the performance of AI










