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  • JournalArticle

    Big Data and Due Process Toward a Framework to Redress Predictive Privacy Harms

    The rise of “Big Data” analytics in the private sector poses new challenges for privacy advocates. Through its reliance on existing data and predictive analysis to create...
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  • ConferencePaper

    Private traits and attributes are predictable from digital records of human b...

    We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes...
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  • JournalArticle

    Big other Surveillance capitalism and the prospects of an information civiliz...

    This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...
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  • JournalArticle

    Fairer machine learning in the real world

    Mitigating discrimination without collecting sensitive data Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used...
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  • JournalArticle

    Fair Transparent and Accountable Algorithmic Decision making Processes

    The Premise, the Proposed Solutions, and the Open Challenges The combination of increased availability of large amounts of fine-grained human behavioral data and advances in...
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  • ConferencePaper

    Beyond Distributive Fairness in Algorithmic Decision Making

    Beyond Distributive Fairness in Algorithmic Decision Making Feature Selection for Procedurally Fair Learning With widespread use of machine learning methods in numerous...
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  • ConferencePaper

    A comparative study of fairness enhancing interventions in machine learning

    Computers are increasingly used to make decisions that have significant impact on people's lives. Often, these predictions can affect different population subgroups...
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  • JournalArticle

    Challenging algorithmic profiling

    The limits of data protection and anti-discrimination in responding to emergent discrimination The potential for biases being built into algorithms has been known for some time...
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  • JournalArticle

    Social Justice and Equality and Primary Care How Can Big Data Help

    A growing body of research emphasises the role of ‘social determinants of health’ in generating inequalities in health outcomes. How, if at all, should primary care providers...
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  • JournalArticle

    AI and Big Data A blueprint for a human rights and social and ethical impact ...

    Building on studies of the collective dimension of data protection, this article sets out to embed this new perspective in an assessment model centred on human rights (Human...
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  • JournalArticle

    Will big data algorithms dismantle the foundations of liberalism

    In Homo Deus, Yuval Noah Harari argues that technological advances of the twenty-first century will usher in a significant shift in how humans make important life decisions....
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  • JournalArticle

    Fair Prediction with Disparate Impact A Study of Bias in Recidivism Predictio...

    Recidivism prediction instruments (RPIs) provide decision-makers with an assessment of the likelihood that a criminal defendant will reoffend at a future point in time....
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  • JournalArticle

    The Trouble with Algorithmic Decisions

    An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making We are currently witnessing a sharp rise in the use of algorithmic...
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