The effects of technological determinist approach are noteworthy in the studies carried out in the context of Big Data concept. The understanding that a technology-oriented approach will ignore social, cultural and ethical aspects is at the center of criticism towards these effects. In two-way discussions, the concept of Big Data is regarded as an important technological revolution on the one hand, and on the other, it takes place in dystopic scenarios as the source of social unrest. This study focuses on the problems created by the concept in social life from a critical point of view. The aim of this study is to explain the algorithmic discrimination and the resulting classification in the process where machine bias is defined as artificial intelligence that provides automatic learning over time from large amounts of data. The study starts with biases called Big Data concerns and under this heading the study wanted to draw attention to the manipulation of people by programming in search of profit and efficiency. As a result of the study, it was determined that algorithmic prejudices cause social classification and a social structure that can understand this is needed as the main subject of discussion. In researches on the concept of Big Data, there is a need f or solution processes that prioritize respect for the individual. Thus, the emergence of a logic-driven social appearance will be prevented, individual rights and freedoms, privacy can be taken into consideration, labeling and othering solutions will be produced.
|Konular||Sosyal Bilimler, Disiplinler Arası|
: 12 Ağustos 2020
|APA||Ünal, S , Sezgin, A . (2021). Büyük Veri (Big Data)’nin Yapay Zekâ Uygulamalarında Toplumsal Sınıflandırmaya Yönelik Kaygılar . AJIT-e: Bilişim Teknolojileri Online Dergisi , 12 (44) , 47-70 . DOI: 10.5824/ajite.2021.01.004.x|