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  1. A Micro-ethnographic Study of Big Data-Based Innovation in the Financial Services Sector: Governance, Ethics and Organisational Practices.Keren Naa Abeka Arthur & Richard Owen - 2019 - Journal of Business Ethics 160 (2):363-375.
    Our study considers the governance, ethics and operational challenges associated with the acquisition, manipulation and commodification of ‘big data’ in the financial services sector. To the best of our knowledge, there are no published studies describing empirical research undertaken within companies in this sector to understand how they are responding to such challenges: our field-based research is a significant initial contribution in this respect. We describe the results of a micro-ethnographic study undertaken in a small-to-medium-sized company developing disruptive, technology-related platforms (...)
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  • Consent as a compositional act – a framework that provides clarity for the retention and use of data.Minerva C. Rivas Velarde, Christian Lovis, Marcello Ienca, Caroline Samer & Samia Hurst - 2024 - Philosophy, Ethics and Humanities in Medicine 19 (1):1-10.
    Background Informed consent is one of the key principles of conducting research involving humans. When research participants give consent, they perform an act in which they utter, write or otherwise provide an authorisation to somebody to do something. This paper proposes a new understanding of the informed consent as a compositional act. This conceptualisation departs from a modular conceptualisation of informed consent procedures. Methods This paper is a conceptual analysis that explores what consent is and what it does or does (...)
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  • Modeling Ethics: Approaches to Data Creep in Higher Education.Madisson Whitman - 2021 - Science and Engineering Ethics 27 (6):1-18.
    Though rapid collection of big data is ubiquitous across domains, from industry settings to academic contexts, the ethics of big data collection and research are contested. A nexus of data ethics issues is the concept of creep, or repurposing of data for other applications or research beyond the conditions of original collection. Data creep has proven controversial and has prompted concerns about the scope of ethical oversight. Institutional review boards offer little guidance regarding big data, and problematic research can still (...)
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  • Big data and Belmont: On the ethics and research implications of consumer-based datasets.Remy Stewart - 2021 - Big Data and Society 8 (2).
    Consumer-based datasets are the products of data brokerage firms that agglomerate millions of personal records on the adult US population. This big data commodity is purchased by both companies and individual clients for purposes such as marketing, risk prevention, and identity searches. The sheer magnitude and population coverage of available consumer-based datasets and the opacity of the business practices that create these datasets pose emergent ethical challenges within the computational social sciences that have begun to incorporate consumer-based datasets into empirical (...)
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  • The latent space of data ethics.Enrico Panai - forthcoming - AI and Society:1-19.
    In informationally mature societies, almost all organisations record, generate, process, use, share and disseminate data. In particular, the rise of AI and autonomous systems has corresponded to an improvement in computational power and in solving complex problems. However, the resulting possibilities have been coupled with an upsurge of ethical risks. To avoid the misuse, underuse, and harmful use of data and data-based systems like AI, we should use an ethical framework appropriate to the object of its reasoning. Unfortunately, in recent (...)
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  • Facebook's Project Aria indicates problems for responsible innovation when broadly deploying AR and other pervasive technology in the Commons.Sally A. Applin & Catherine Flick - 2021 - Journal of Responsible Technology 5:100010.
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  • Experimental Design: Ethics, Integrity and the Scientific Method.Jonathan Lewis - 2020 - In Ron Iphofen (ed.), Handbook of Research Ethics and Scientific Integrity. Cham, Switzerland: pp. 459-474.
    Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...)
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  • Worker Well-Being: What It Is, and How It Should Be Measured.Indy Wijngaards, Owen C. King, Martijn J. Burger & Job van Exel - 2022 - Applied Research in Quality of Life 17:795-832.
    Worker well-being is a hot topic in organizations, consultancy and academia. However, too often, the buzz about worker well-being, enthusiasm for new programs to promote it and interest to research it, have not been accompanied by universal enthusiasm for scientific measurement. Aim to bridge this gap, we address three questions. To address the question ‘What is worker well-being?’, we explain that worker well-being is a multi-facetted concept and that it can be operationalized in a variety of constructs. We propose a (...)
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