Survey of Fairness in Machine Learning for Indonesian General Election Research

Abstract

Machine Learning is one of the popular fields of scientific research at the moment. Fairness is one of the trust parameters in machine learning research. Machine Learning principle is to remove human biases in providing assessment. Therefore, we conducted a survey using Google Scholar to find out the fairness of Machine Learning research about Indonesian General Election 2019. First, we collect all Machine Learning research related to topics. Then, we made the selection to ensure the research meets up criteria. The main criteria in this study are data collection and data set selection process. Our study finds out that the current state of fairness in machine learning research related to the topic is shallow. Most of the studies almost have no transparency in data collection, and final data set being selected.

Ähnliche Arbeiten