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  1. Empowerment or Engagement? Digital Health Technologies for Mental Healthcare.Christopher Burr & Jessica Morley - 2020 - In Christopher Burr & Silvia Milano (eds.), The 2019 Yearbook of the Digital Ethics Lab. Springer Nature. pp. 67-88.
    We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key (...)
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  • The ethics of algorithms: mapping the debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2):2053951716679679.
    In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...)
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  • Emerging Ethical Issues in Living Labs.FaustoJ Sainz - 2012 - Ramon Llull Journal of Applied Ethics 3 (3):47.
    Living labs represent an important step in the development of research solutions based on the inclusive design paradigm. To ensure participants' rights and the adoption of an ethical approach to technological research, this paper presents some tools and strategies that comply with the needs and rights of those less advantaged groups to ensure that their rights and demands are taken into account. There is a gap in the construction and development of norms for a living lab. This article summarizes the (...)
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  • Distributed morality in an information society.Luciano Floridi - 2013 - Science and Engineering Ethics 19 (3):727-743.
    The phenomenon of distributed knowledge is well-known in epistemic logic. In this paper, a similar phenomenon in ethics, somewhat neglected so far, is investigated, namely distributed morality. The article explains the nature of distributed morality, as a feature of moral agency, and explores the implications of its occurrence in advanced information societies. In the course of the analysis, the concept of infraethics is introduced, in order to refer to the ensemble of moral enablers, which, although morally neutral per se, can (...)
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  • The ethics of information transparency.Matteo Turilli & Luciano Floridi - 2009 - Ethics and Information Technology 11 (2):105-112.
    The paper investigates the ethics of information transparency (henceforth transparency). It argues that transparency is not an ethical principle in itself but a pro-ethical condition for enabling or impairing other ethical practices or principles. A new definition of transparency is offered in order to take into account the dynamics of information production and the differences between data and information. It is then argued that the proposed definition provides a better understanding of what sort of information should be disclosed and what (...)
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  • From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.
    The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...)
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  • Ethics awareness among stakeholders in a digital technology research project. Exploring designers and participants’ relationship whith ethical issues and procedures.Fausto J. Sainz de Salces, Rhiannon Thomas & Javier Bustamante Donas - 2017 - Ramon Llull Journal of Applied Ethics 8 (8):183-206.
    In this paper we present the perceptions of those engagedin a digital research project. We explored participants’ ethical knowledge,understanding and feelings about the whole process. We also tried toimplement a plan in order to see if certain proactive actions will benefitthe understanding of ethical issues among those stakeholders.The investigation presented here explored the need for ethical awarenessamong stakeholders in technology research projects.1 The Project tried to overcome the existing accessibility barriers faced by people unfamiliarwith ICT, people with disabilities and older (...)
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  • The Singular Plurality of Social Goods / La singolare pluralità dei beni sociali.Marco Emilio - 2022 - Dissertation, Université de Neuchâtel
    According to some philosophers and social scientists, mainstream economic theories currently play an unprecedented role in shaping human societies. This phenomenon can be linked to the dissemination of methodological individualism, where common goods are interpreted as reducible to aggregates of individuals' well-being. Nonetheless, some emergent difficulties of economics in coping with global institutional issues have encouraged some authors to revise that paradigm. In the last three decades, there has been a parallel growing philosophical interest in investigating social sciences' epistemological and (...)
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  • Is there an ethics of algorithms?Martin Peterson - 2011 - Ethics and Information Technology 13 (3):251-260.
    We argue that some algorithms are value-laden, and that two or more persons who accept different value-judgments may have a rational reason to design such algorithms differently. We exemplify our claim by discussing a set of algorithms used in medical image analysis: In these algorithms it is often necessary to set certain thresholds for whether e.g. a cell should count as diseased or not, and the chosen threshold will partly depend on the software designer’s preference between avoiding false positives and (...)
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