2019
DOI: 10.1186/s40537-019-0177-4
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Big Data and discrimination: perils, promises and solutions. A systematic review

Abstract: Big Data has been described as a "one-size-fits-all (so long as it's triple XL) answer" [24] to solve some of the most challenging problems in the fields of climate change, healthcare, education and criminology. This may explain why it has become the buzzword of the decade. Big Data is a very complex and extensive phenomenon that has had fluctuating meanings since its appearance in the early 2010's [86]. Traditionally it has been defined in terms of four dimensions (the four V's of Big Data): volume, velocity,

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Cited by 116 publications
(67 citation statements)
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“…In the past few years, alongside the ambitious promises of digital technologies in healthcare, the research community has also highlighted many of the potential ethical issues that Big Data and ICT are raising for both patients and other members of society. In the biomedical context, data technologies have been claimed to exacerbate issues of informed consent for both patients and research participants [17,18], and to create new issues regarding privacy, confidentiality [19][20][21], data security and data protection [22], and patient anonymization [23] and discrimination [24][25][26]. In addition, recent research has also emphasized additional pressing challenges that could emerge from the inattentive use of increasingly sophisticated digital technologies, such as issues of accuracy and accountability in the use of diagnostic algorithms [27] and the exacerbation of healthcare inequalities [25].…”
Section: Introductionmentioning
confidence: 99%
“…In the past few years, alongside the ambitious promises of digital technologies in healthcare, the research community has also highlighted many of the potential ethical issues that Big Data and ICT are raising for both patients and other members of society. In the biomedical context, data technologies have been claimed to exacerbate issues of informed consent for both patients and research participants [17,18], and to create new issues regarding privacy, confidentiality [19][20][21], data security and data protection [22], and patient anonymization [23] and discrimination [24][25][26]. In addition, recent research has also emphasized additional pressing challenges that could emerge from the inattentive use of increasingly sophisticated digital technologies, such as issues of accuracy and accountability in the use of diagnostic algorithms [27] and the exacerbation of healthcare inequalities [25].…”
Section: Introductionmentioning
confidence: 99%
“…As digital technologies are becoming more and more entwined with people's personal characteristics, their daily actions and future opportunities, Big Data research creates pressing ethical and societal issues such as privacy and data anonymity [31,55], respect for personhood and personal identity [56], discrimination [44,57], and informed consent [58,59]. It is therefore of the utmost importance that scholars and regulatory bodies are aware of the harm that could be inflicted on research participants and that sustainable regulations are put in place.…”
Section: Discussionmentioning
confidence: 99%
“…For this purpose, we compiled a list of keywords linked to Big Data. The list was compiled by two of the authors while performing a systematic review on Big Data that assisted the identification of the main terms related to Big Data research and technology [44]. The first author then systematically browsed the professional pages of all professors affiliated to the departments of psychology and sociology of all twelve Swiss Universities (ten Universities and two Federal Institutes of Technology) and the top ten US Universities according to the Times Higher Education University Ranking 2018 (accessed on 13.12.2018) and selected those that had these specific keywords appearing in their personal page (See Table 1):…”
Section: Samplingmentioning
confidence: 99%
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“…How to use robotics to dig out the knowledge that can guide practice from piecemeal information has become the hottest topic. 5,6 Many colleges and universities in the campus network operation and maintenance will enable some servers for students to access the Internet for authentication and billing, to prevent hackers from invading the local area network (LAN), monitoring the campus network download upload traffic and detecting sensation in the LAN. While these servers serve the LAN, a large amount of log data is stored in the back-end database.…”
Section: Introductionmentioning
confidence: 99%