This paper seeks to illuminate the significance of datafication for anti-poverty programmes, meaning social protection schemes designed specifically for poor people. The conversion of beneficiary populations into machine-readable data enables two core functions of social protection, those of recognising entitled beneficiaries and assigning entitlements connected to each anti-poverty scheme. Drawing on the incorporation of Aadhaar, India’s biometric population database, in the national agenda for social protection, we unpack a techno-rational perspective that crafts datafication as a means to enhance the effectiveness of anti-poverty schemes. Nevertheless, narratives collected in the field show multiple forms of data injustice on recipients, underpinned by Aadhaar’s functionality for a shift of the social protection agenda from in-kind subsidies to cash transfers. Based on such narratives the paper introduces a politically embedded view of data, framing datafication as a transformative force that contributes to reforming existing anti-poverty schemes.
https://www.frontiersin.org/articles/10.3389/fdata.2019.00013/full
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https://www.nytimes.com/2019/07/10/opinion/facial-recognition-race.html
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Um estudo inédito da pesquisadora Débora Machado, da Universidade Federal do ABC (UFABC), revela que o uso de informações pessoais pode ir além. O Facebook tem tecnologias suficientes para saber o que estamos sentindo em cada momento que logamos na plataforma. E mais: a partir disso, pode moldar as nossas emoções em benefício próprio.
https://apublica.org/2019/07/como-o-f...mocoes/?amp&__twitter_impression=true
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New encryption powers to seek assistance from tech companies to spy on users have been used at least five times by federal and New South Wales police.
https://www.theguardian.com/technolog...-five-times-by-federal-and-nsw-police
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Before the year 2014, there were many people using Google, Facebook, and Amazon. Today, there are still many people using services from those three tech giants (respectively, GOOG, FB, AMZN). Not much has changed, and quite literally the user interface and features on those sites has remained mostly untouched. However, the underlying dynamics of power on the Web have drastically changed, and those three companies are at the center of a fundamental transformation of the Web.
https://staltz.com/the-web-began-dying-in-2014-heres-how.html
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https://medium.com/berkman-klein-cent...ions-on-decentralization-112bd8751e41
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The Seattle City Council passed an ordinance on Monday protecting the personal data of Seattle City Light customers from being sold. The ordinance passed as new “smart meters” are installed in homes around the city.
https://www.king5.com/article/news/lo...t-utility-customer-data/281-581369186
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Government targets mass ID enrollment from next year, pilot registration from September
https://gulfnews.com/world/asia/natio...-expatriates-official-1.1561960277506
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Dados indevidos de pessoas em tratamento contra as drogas ficaram disponíveis por mais de três anos
https://www1.folha.uol.com.br/cotidia...tm_medium=social&utm_campaign=twfolha
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A timeline é um resultado secundário da pesquisa de doutorado Dados, Algoritmos e Racialização em Plataformas Digitais. Desenvolvido no PCHS-UFABC, o projeto estuda as cadeias produtivas da plataformização digital (mídias sociais, aplicativos, inteligência artificial) e seus vieses e impactos raciais. Os casos, reportagens e reações ao racismo algorítmico podem ser visualizados abaixo e são dados para artigos, conferências, tese e livro em desenvolvimento.
https://tarciziosilva.com.br/blog/posts/racismo-algoritmico-linha-do-tempo
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