Answer to Question #200256 in Philosophy for arsalan

Question

o   Do you agree with O'Neil's argument that many Big Data algorithms make the poor are particularly vulnerable to exploitation?

Answer 1

Interpersonal Communication Skills

Do you agree with O'Neil's argument that many Big Data algorithms make the poor are particularly vulnerable to exploitation?

I agree with the argument from O'Neil that Big Data techniques like loan scoring don't benefit the poor since their loan score is low. In many facets of daily life, most articles covered the possibility of prejudice against data mining technology. The bulk of articles focused on discriminatory cases in traditionally vulnerable groups, but some voiced worry about emerging types of discrimination in insurance and health care sectors, including as scoring systems and prediction analyses. Data mining discriminatory implications were mostly attributable to human and legal defects; hence, remedies proposed include extensive audit techniques, the adoption of legislation on data protection and methods for improving transparency. Some articles have also shown good uses of advanced analytics, (Keeble,2012).

This meta-analysis mainly stresses the necessity for further empirical study in order to evaluate how discriminatory behaviours arise from increased usage of data analysis in our everyday lives, both deliberately and by mistake. Moreover, given that most publications focused on the harmful repercussions of big data, further study into the possible good application of big data is needed in related to personal inequalities.

Reference.

Keeble, A. (2012). Joseph o’neil’s Netherland and 9/11 Fiction. European Journal of American Culture, 31(1), 55-71.