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  1. How the machine ‘thinks’: Understanding opacity in machine learning algorithms.Jenna Burrell - 2016 - Big Data and Society 3 (1):205395171562251.
    This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this work. In this article, I draw a distinction between three forms of opacity: opacity as intentional corporate or state (...)
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  • On nanotechnology and ambivalence: The politics of enthusiasm. [REVIEW]Matthew Kearnes & Brian Wynne - 2007 - NanoEthics 1 (2):131-142.
    The promise of scientific and technological innovation – particularly in fields such as nanotechnology – is increasingly set against what has been articulated as a deficit in public trust in both the new technologies and regulatory mechanisms. Whilst the development of new technology is cast as providing contributions to both quality of life and national competitiveness, what has been termed a ‘legitimacy crisis’ is seen as threatening the vitality of this process. However in contrast to the risk debates that dominated (...)
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  • An Ethical Framework for Evaluating Experimental Technology.Ibo van de Poel - 2016 - Science and Engineering Ethics 22 (3):667-686.
    How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...)
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  • (1 other version)From the casino to the jungle: Dealing with uncertainty in technological risk management.Sven Ove Hansson - 2009 - Synthese 168 (3):423-432.
    Clear-cut cases of decision-making under risk (known probabilities) are unusual in real life. The gambler’s decisions at the roulette table are as close as we can get to this type of decision-making. In contrast, decision-making under uncertainty (unknown probabilities) can be exemplified by a decision whether to enter a jungle that may contain unknown dangers. Life is usually more like an expedition into an unknown jungle than a visit to the casino. Nevertheless, it is common in decision-supporting disciplines to proceed (...)
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  • Psychological roadblocks to the adoption of self-driving vehicles.Azim Shariff, Jean-François Bonnefon & Iyad Rahwan - 2017 - Nature Human Behaviour 1 (10):694-696.
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  • Science and trans-science.Alvin M. Weinberg - 1972 - Minerva 10 (2):209-222.
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  • Risk, fear, blame, shame and the regulation of public safety.Jonathan Wolff - 2006 - Economics and Philosophy 22 (3):409-427.
    The question of when people may impose risks on each other is of fundamental moral importance. Forms of “quantified risk assessment,” especially risk cost-benefit analysis, provide one powerful approach to providing a systematic answer. It is also well known that such techniques can show that existing resources could be used more effectively to reduce risk overall. Thus it is often argued that some current practices are irrational. On the other hand critics of quantified risk assessment argue that it cannot adequately (...)
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  • (1 other version)From the casino to the jungle: Dealing with uncertainty in technological risk management.Sven Ove Hansson - 2009 - Synthese 168 (3):423-432.
    Clear-cut cases of decision-making under risk (known probabilities) are unusual in real life. The gambler’s decisions at the roulette table are as close as we can get to this type of decision-making. In contrast, decision-making under uncertainty (unknown probabilities) can be exemplified by a decision whether to enter a jungle that may contain unknown dangers. Life is usually more like an expedition into an unknown jungle than a visit to the casino. Nevertheless, it is common in decision-supporting disciplines to proceed (...)
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  • Trust in automation: Designing for appropriate reliance.J. D. Lee & K. A. See - 2004 - Human Factors 46.
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  • An Ethical Framework for Evaluating Experimental Technology.Ibo Poel - 2016 - Science and Engineering Ethics 22 (3):667-686.
    How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...)
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  • An integrative model of organizational trust.R. C. Mayer, J. H. Davis & F. D. Schoorman - 1995 - Academy of Management Review 20.
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  • Autonomous vehicle safety: An interdisciplinary challenge.P. Koopman & M. Wagner - 2017 - IEEE Intelligent Transportation Systems Magazine 9.
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