scholarly journals From Data Ethics to Data Justice in/as Pedagogy (Dispatch)

2021 ◽  
Vol 15 (3) ◽  
pp. 450-457
Author(s):  
Andrea Zeffiro
Keyword(s):  

N/A

Author(s):  
Julia M. Puaschunder
Keyword(s):  
Big Data ◽  

2020 ◽  
Author(s):  
Dennis Hirsch ◽  
Tim Bartley ◽  
Aravind Chandrasekaran ◽  
Davon Norris ◽  
Srinivasan Parthasarathy ◽  
...  

2018 ◽  
Vol 38 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Wenhong Chen ◽  
Anabel Quan-Haase

The hype around big data does not seem to abate nor do the scandals. Privacy breaches in the collection, use, and sharing of big data have affected all the major tech players, be it Facebook, Google, Apple, or Uber, and go beyond the corporate world including governments, municipalities, and educational and health institutions. What has come to light is that enabled by the rapid growth of social media and mobile apps, various stakeholders collect and use large amounts of data, disregarding the ethics and politics. As big data touch on many realms of daily life and have profound impacts in the social world, the scrutiny around big data practice becomes increasingly relevant. This special issue investigates the ethics and politics of big data using a wide range of theoretical and methodological approaches. Together, the articles provide new understandings of the many dimensions of big data ethics and politics, showing it is important to understand and increase awareness of the biases and limitations inherent in big data analysis and practices.


Author(s):  
Shannon O'Reilly

This book review critiques Lauren F. Klein and Catherine D'lgnazio's Data Feminism (2020). Klein and D'lgnazio take a visual approach to provide a synopsis—underpinned by social and political commentary—that explores the avenues through which data science and data ethics shape how contemporary technologies exploit injustices related to race and gender. Klein and D'lgnazio offer examples of this exploitation, such as the discriminatory surveillance apparatus that relies on racial profiling tactics. These examples are emboldened by the use of contemporary data strategies that—on the surface—strive to achieve a more equitable and ‘neutral’ hierarchal society. This review examines the text’s visual approach to demonstrating institutional inequities and the authors’ acknowledgement of their own privilege, specifically the role they play in upholding the oppressive systems they seek to dismantle through collaboration and intersectional analysis.


2021 ◽  
pp. medethics-2020-107024
Author(s):  
Tom Sorell ◽  
Nasir Rajpoot ◽  
Clare Verrill

This paper explores ethical issues raised by whole slide image-based computational pathology. After briefly giving examples drawn from some recent literature of advances in this field, we consider some ethical problems it might be thought to pose. These arise from (1) the tension between artificial intelligence (AI) research—with its hunger for more and more data—and the default preference in data ethics and data protection law for the minimisation of personal data collection and processing; (2) the fact that computational pathology lends itself to kinds of data fusion that go against data ethics norms and some norms of biobanking; (3) the fact that AI methods are esoteric and produce results that are sometimes unexplainable (the so-called ‘black box’problem) and (4) the fact that computational pathology is particularly dependent on scanning technology manufacturers with interests of their own in profit-making from data collection. We shall suggest that most of these issues are resolvable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anca C. Yallop ◽  
Oana A. Gică ◽  
Ovidiu I. Moisescu ◽  
Monica M. Coroș ◽  
Hugues Séraphin

Purpose Big data and analytics are being increasingly used by tourism and hospitality organisations (THOs) to provide insights and to inform critical business decisions. Particularly in times of crisis and uncertainty data analytics supports THOs to acquire the knowledge needed to ensure business continuity and the rebuild of tourism and hospitality sectors. Despite being recognised as an important source of value creation, big data and digital technologies raise ethical, privacy and security concerns. This paper aims to suggest a framework for ethical data management in tourism and hospitality designed to facilitate and promote effective data governance practices. Design/methodology/approach The paper adopts an organisational and stakeholder perspective through a scoping review of the literature to provide an overview of an under-researched topic and to guide further research in data ethics and data governance. Findings The proposed framework integrates an ethical-based approach which expands beyond mere compliance with privacy and protection laws, to include other critical facets regarding privacy and ethics, an equitable exchange of travellers’ data and THOs ability to demonstrate a social license to operate by building trusting relationships with stakeholders. Originality/value This study represents one of the first studies to consider the development of an ethical data framework for THOs, as a platform for further refinements in future conceptual and empirical research of such data governance frameworks. It contributes to the advancement of the body of knowledge in data ethics and data governance in tourism and hospitality and other industries and it is also beneficial to practitioners, as organisations may use it as a guide in data governance practices.


2021 ◽  
Vol 72 (5-6) ◽  
pp. 291-298
Author(s):  
Helena Häußler
Keyword(s):  

Zusammenfassung Zuletzt veröffentlichten viele Organisationen ethische Richtlinien, um ihre Haltung gegen Diskriminierung durch Algorithmen zu betonen. Vier dieser Frameworks werden mithilfe der kritischen Diskursanalyse untersucht. Ziel ist es, die darin vermittelten Werte und Wertkonflikte zu identifizieren. Die Ergebnisse weisen darauf hin, dass etablierte Werte aus der Computer- und Informationsethik aufgegriffen und bestehende Machtstrukturen zwischen Akteuren verstärkt werden.


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