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  1. The global landscape of AI ethics guidelines.A. Jobin, M. Ienca & E. Vayena - 2019 - Nature Machine Intelligence 1.
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  • Agile ethics: an iterative and flexible approach to assessing ethical, legal and social issues in the agile development of crisis management information systems.Inga Kroener, David Barnard-Wills & Julia Muraszkiewicz - 2019 - Ethics and Information Technology 23 (S1):7-18.
    This paper reassess the evaluation of ethical, legal and social issues in relation to the agile development of information systems in the domain of crisis management. The authors analyse the differing assessment needs of a move from a traditional approach to the development of information systems to an agile approach, which offers flexibility, adaptability and responds to the needs of users as the system develops. In turn, the authors argue that this development requires greater flexibility and an iterative approach to (...)
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  • Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review.Marcello Ienca, Tenzin Wangmo, Fabrice Jotterand, Reto W. Kressig & Bernice Elger - 2018 - Science and Engineering Ethics 24 (4):1035-1055.
    The use of Intelligent Assistive Technology in dementia care opens the prospects of reducing the global burden of dementia and enabling novel opportunities to improve the lives of dementia patients. However, with current adoption rates being reportedly low, the potential of IATs might remain under-expressed as long as the reasons for suboptimal adoption remain unaddressed. Among these, ethical and social considerations are critical. This article reviews the spectrum of IATs for dementia and investigates the prevalence of ethical considerations in the (...)
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  • Ethical foresight analysis: what it is and why it is needed?Luciano Floridi & Andrew Strait - 2020 - Minds and Machines 30 (1):77-97.
    An increasing number of technology firms are implementing processes to identify and evaluate the ethical risks of their systems and products. A key part of these review processes is to foresee potential impacts of these technologies on different groups of users. In this article, we use the expression Ethical Foresight Analysis to refer to a variety of analytical strategies for anticipating or predicting the ethical issues that new technological artefacts, services, and applications may raise. This article examines several existing EFA (...)
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  • Ethical Foresight Analysis: What It Is and Why It Is Needed?Luciano Floridi & Andrew Strait - 2021 - In Josh Cowls & Jessica Morley (eds.), The 2020 Yearbook of the Digital Ethics Lab. Springer Verlag. pp. 173-194.
    An increasing number of technology firms are implementing processes to identify and evaluate the ethical risks of their systems and products. A key part of these review processes is to foresee potential impacts of these technologies on different groups of users. In this chapter, we use the expression Ethical Foresight Analysis to refer to a variety of analytical strategies for anticipating or predicting the ethical issues that new technological artefacts, services, and applications may raise. This chapter examines several existing EFA (...)
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  • Identifying Ethical Considerations for Machine Learning Healthcare Applications.Danton S. Char, Michael D. Abràmoff & Chris Feudtner - 2020 - American Journal of Bioethics 20 (11):7-17.
    Along with potential benefits to healthcare delivery, machine learning healthcare applications raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure th...
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  • Principles alone cannot guarantee ethical AI.Brent Mittelstadt - 2019 - Nature Machine Intelligence 1 (11):501-507.
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  • Twenty years of value sensitive design: a review of methodological practices in VSD projects. [REVIEW]Till Winkler & Sarah Spiekermann - 2018 - Ethics and Information Technology 23 (1):17-21.
    This article reviews the academic literature that emerged under value sensitive design. It investigates those VSD projects that employed the tripartite methodology, examining the use of VSD methodological elements, and illustrating common practices and identifying shortcomings. The article provides advice for VSD researchers on how to complete and enhance their methodological approach as the research community moves forward.
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