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"Koopman, Colin"
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Genealogy as Critique
Viewing Foucault in the light of work by Continental and American philosophers, most notably Nietzsche, Habermas, Deleuze, Richard Rorty, Bernard Williams, and Ian Hacking, Genealogy as Critique shows that philosophical genealogy involves not only the critique of modernity but also its transformation. Colin Koopman engages genealogy as a philosophical tradition and a method for understanding the complex histories of our present social and cultural conditions. He explains how our understanding of Foucault can benefit from productive dialogue with philosophical allies to push Foucaultian genealogy a step further and elaborate a means of addressing our most intractable contemporary problems.
eBook
The ethics of data interoperability: Mapping problems and strategies in biomedical data and beyond
Data interoperability poses unique ethical challenges across a range of academic, industrial, and governmental implementations of data systems. Central to data interoperability is the design of systems and protocols for exchanging or integrating data from different initial source domains. Data interoperability is often regarded as necessary for carrying out tasks between different organizations and suborganizations as well as for ensuring secondary use of data for research purposes. However, interoperability poses a number of ethical problems whose contours can prove especially challenging in comparison to how ethical harms take hold at other moments of the data life cycle (such as algorithmic processing or results dissemination). Taking biomedical data interoperability as a focal domain, this article provides an overview of data interoperability, maps the central ethical harms that may challenge interoperability projects, and proposes a response to these problems through an approach rooted in philosophical pragmatism. Pragmatist responses to both individual and structural harms of interoperability are presented through three companion strategies: shared standards, manual data curation, and meticulous data documentation.
Journal Article
How we became our data : a genealogy of the informational person
We are now acutely aware, as if all of the sudden, that data matters enormously to how we live. How did information come to be so integral to what we can do? How did we become people who effortlessly present our lives in social media profiles and who are meticulously recorded in state surveillance dossiers and online marketing databases? What is the story behind data coming to matter so much to who we are? Colin Koopman excavates early moments of our rapidly accelerating data-tracking technologies and their consequences for how we think of and express our selfhood today. Koopman explores the emergence of mass-scale record keeping systems like birth certificates and social security numbers, as well as new data techniques for categorizing personality traits, measuring intelligence, and even racializing subjects. This all culminates in what Koopman calls the \"informational person\" and the \"informational power\" we are now subject to. The recent explosion of digital technologies that are turning us into a series of algorithmic data points is shown to have a deeper and more turbulent past than we commonly think. Blending philosophy, history, political theory, and media theory in conversation with thinkers like Michel Foucault, J rgen Habermas, and Friedrich Kittler, Koopman presents an illuminating perspective on how we have come to think of our personhood - and how we can resist its erosion.
Book
The Political Theory of Data
Despite widespread recognition of an emergent politics of data in our midst, we strikingly lack a political theory of data. We readily acknowledge the presence of data across our political lives, but we often do not know how to conceptualize the politics of all those data points—the forms of power they constitute and the kinds of political subjects they implicate. Recent work in numerous academic disciplines is evidence of the first steps toward a political theory of data. This article maps some limits of this emergent literature with an eye to enriching its theoretical range. The literature on data politics, both within political theory and elsewhere, has thus far focused almost exclusively on the algorithm. This article locates a further dimension of data politics in the work of formatting technology or, more simply, formats. Formats are simultaneously conceptual and technical in the ways they define what can even count as data, and by extension who can count as data and how they can count. A focus on formats is of theoretical value because it provides a bridge between work on the conceptual contours of categories and the technology-centric literature on algorithms that tends to ignore the more conceptual dimensions of data technology. The political insight enabled by format theory is shown in the context of an extended interrogation of the politics of racialized redlining.
Journal Article
Artificing intelligence: from isolating IQ to amoral AI
Our contemporary moment is saturated by investments in artificial intelligence (AI). AI is not without its critics, many of whom hope to show why machines simply cannot be intelligent. Yet AI’s claim to intelligence is not dubious. Rather, what requires examination is the assumption that independent intelligence can help resolve our ethical–political problems instead of making them worse. Consider that AI exhibits a pair of tendencies commonly believed to be contradictory: success in passing validated behavioral tests of intelligence and manifesting ethical failures in the form of discriminatory and biased data analyses. The history of early-twentieth century psychometric sciences helps us see that these tendencies are far from contradictory. For that history shows that psychometricians designed tests in a way that relied upon the separation of intelligence from the measure of moral traits. This paper tracks the emergence of technologies and sciences of intelligence through the work of Lewis Terman and others as they disseminated their testing techniques in the domain of education in the 1920s. The wide deployment of intelligence tests in subsequent decades created the historical conditions for the viability of the inaugural work of Alan Turing on machine intelligence in the 1950s and beyond. The result is today's amoral AI.
Journal Article
Coding the Self: The Infopolitics and Biopolitics of Genetic Sciences
This essay compares three models for conceptualizing the political and ethical challenges of contemporary genetics, genomics, and postgenomics. The three analytical approaches are referred to as the state‐politics model, the biopolitical model, and the infopolitical model. Each of these models is valuable for different purposes. In terms of their influence in contemporary discussions, the first is by far the dominant approach, the second is gaining in importance, and the third is almost entirely neglected. The widespread neglect of the infopolitical dimensions of genetic sciences that are the focus of the third model is puzzling in light of the fact that genetics, genomics, and postgenomics are all preeminent information sciences. The infopolitical model thus aims to bring into clearer view the specific political and ethical problems engendered by this informational nature of the genetic sciences. This model offers a way of understanding how ethically salient and politically fraught conceptual assumptions can be embedded in informational architectures such as algorithms and the formats (or data structures) upon which they rely.
Journal Article
Pragmatist Resources for Experimental Philosophy
Recent attention given to the upstart movement of experimental philosophy is much deserved. But now that experimental philosophy is beginning to enter a stage of maturity, it is time to consider its relation to other philosophical traditions that have issued similar assaults against ingrained and potentially misguided philosophical habits. Experimental philosophy is widely known for rejecting a philosophical reliance on intuitions as evidence in philosophical argument. In this it shares much with another branch of empiricist philosophy, namely, pragmatism. Taking Kwame Anthony Appiah's forthright and cautious endorsement of experimental philosophy as my model, I show that experimental philosophy and pragmatist philosophy share more than adherents of either philosophical method have yet to allow. I then use this comparison to show how the new experimentalisms could benefit from a rereading of century-old pragmatist insights about philosophical methodology.
Journal Article
Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy
The meaning of privacy has been much disputed throughout its history in response to wave after wave of new technological capabilities and social configurations. The current round of disputes over privacy fuelled by data science has been a cause of despair for many commentators and a death knell for privacy itself for others. We argue that privacy’s disputes are neither an accidental feature of the concept nor a lamentable condition of its applicability. Privacy is essentially contested. Because it is, privacy is transformable according to changing technological and social conditions. To make productive use of privacy’s essential contestability, we argue for a new approach to privacy research and practical design, focused on the development of conceptual analytics that facilitate dissecting privacy’s multiple uses across multiple contexts.
This article is part of the themed issue ‘The ethical impact of data science’.
Journal Article