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作 者:Biju P.R Gayathri O.
机构地区:[1]the Department of Political Science at Government Brennen College,Kerala 670106,India [2]the Department of Political Science at Government College Madappally,Kerala 673102,India
出 处:《Journal of Social Computing》2024年第3期206-231,共26页社会计算(英文)
摘 要:Structural oppression is a pervasive characteristic of Indian society,disproportionately affecting underprivileged groups such as Dalits,women,religious minorities,and geographically segregated communities.Any developments in the economy and technology therefore affect the lives of these marginalized groups unduly.While previous studies have explored the societal implications of intelligent systems,particularly prediction technologies such as recommender systems,ratings and reviews,there remains a significant gap in the literature concerning their impacts on these vulnerable social groups.Specifically,there is a lack of insights into the unique challenges faced by marginalized communities within the context of predictive technologies.This paper examines how the intelligent algorithms affect personal freedoms of weaker sections,particularly the right to choice,and whether they reinforce existing social biases within Indian society.By doing so,it seeks to inform policymakers and predict the implications of prediction technologies on liberty;thereby proposing insights on the similar other issues likely to affect underprivileged communities due to the widespread adoption of AI technologies.
关 键 词:LIBERTY social structure ALGORITHM artificial intelligence Indian digital landscape
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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