8 found
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  1. Excavating AI: the politics of images in machine learning training sets.Kate Crawford & Trevor Paglen - forthcoming - AI and Society:1-12.
    By looking at the politics of classification within machine learning systems, this article demonstrates why the automated interpretation of images is an inherently social and political project. We begin by asking what work images do in computer vision systems, and what is meant by the claim that computers can “recognize” an image? Next, we look at the method for introducing images into computer systems and look at how taxonomies order the foundational concepts that will determine how a system interprets the (...)
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  2. Where are human subjects in Big Data research? The emerging ethics divide.Kate Crawford & Jacob Metcalf - 2016 - Big Data and Society 3 (1).
    There are growing discontinuities between the research practices of data science and established tools of research ethics regulation. Some of the core commitments of existing research ethics regulations, such as the distinction between research and practice, cannot be cleanly exported from biomedical research to data science research. Such discontinuities have led some data science practitioners and researchers to move toward rejecting ethics regulations outright. These shifts occur at the same time as a proposal for major revisions to the Common Rule—the (...)
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  3.  70
    Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics.Kate Crawford - 2016 - Science, Technology, and Human Values 41 (1):77-92.
    This paper explores how political theory may help us map algorithmic logics against different visions of the political. Drawing on Chantal Mouffe’s theories of agonistic pluralism, this paper depicts algorithms in public life in ten distinct scenes, in order to ask the question, what kinds of politics do they instantiate? Algorithms are working within highly contested online spaces of public discourse, such as YouTube and Facebook, where incompatible perspectives coexist. Yet algorithms are designed to produce clear “winners” from information contests, (...)
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  4.  26
    Health and Big Data: An Ethical Framework for Health Information Collection by Corporate Wellness Programs.Ifeoma Ajunwa, Kate Crawford & Joel S. Ford - 2016 - Journal of Law, Medicine and Ethics 44 (3):474-480.
    This essay details the resurgence of wellness program as employed by large corporations with the aim of reducing healthcare costs. The essay narrows in on a discussion of how Big Data collection practices are being utilized in wellness programs and the potential negative impact on the worker in regards to privacy and employment discrimination. The essay offers an ethical framework to be adopted by wellness program vendors in order to conduct wellness programs that would achieve cost-saving goals without undue burdens (...)
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  5.  80
    Correction to: Excavating AI: the politics of images in machine learning training sets.Kate Crawford & Trevor Paglen - 2021 - AI and Society 36 (4):1399-1399.
  6.  25
    Social Media, Financial Algorithms and the Hack Crash.Tero Karppi & Kate Crawford - 2016 - Theory, Culture and Society 33 (1):73-92.
    ‘@AP: Breaking: Two Explosions in the White House and Barack Obama is injured’. So read a tweet sent from a hacked Associated Press Twitter account @AP, which affected financial markets, wiping out $136.5 billion of the Standard & Poor’s 500 Index’s value. While the speed of the Associated Press hack crash event and the proprietary nature of the algorithms involved make it difficult to make causal claims about the relationship between social media and trading algorithms, we argue that it helps (...)
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  7.  10
    Knowing You, Knowing Me : an interactive game to address positive mother-daughter communication and relationships.Mary Katsikitis, Christian Jones, Melody Muscat & Kate Crawford - 2014 - Frontiers in Psychology 5.
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  8.  12
    Emergency environmentalism: on fear, lifestyle politics and subjectivity.Kate Crawford - 2009 - Angelaki 14 (2):29-35.