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  1. (1 other version)Trusting artificial intelligence in cybersecurity is a double-edged sword.Mariarosaria Taddeo, Tom McCutcheon & Luciano Floridi - 2019 - Philosophy and Technology 32 (1):1-15.
    Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from US$1 billion in 2016 to a US$34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global scale. (...)
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  • The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation.Huw Roberts, Josh Cowls, Jessica Morley, Mariarosaria Taddeo, Vincent Wang & Luciano Floridi - 2021 - AI and Society 36 (1):59–⁠77.
    In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on (...)
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  • In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.
    One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...)
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  • The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...)
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  • The Importance of Ethics in Modern Universities of Technology.Behnam Taebi, Jeroen van den Hoven & Stephanie J. Bird - 2019 - Science and Engineering Ethics 25 (6):1625-1632.
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  • Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.Mark Coeckelbergh - 2020 - Science and Engineering Ethics 26 (4):2051-2068.
    This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed starting from two Aristotelian conditions for responsibility. Next to the well-known problem of many hands, the issue of “many things” is identified and the temporal dimension is emphasized when it comes to the control condition. Special attention is given to the epistemic condition, which draws (...)
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  • Imaginative Value Sensitive Design: Using Moral Imagination Theory to Inform Responsible Technology Design.Steven Umbrello - 2020 - Science and Engineering Ethics 26 (2):575-595.
    Safe-by-Design (SBD) frameworks for the development of emerging technologies have become an ever more popular means by which scholars argue that transformative emerging technologies can safely incorporate human values. One such popular SBD methodology is called Value Sensitive Design (VSD). A central tenet of this design methodology is to investigate stakeholder values and design those values into technologies during early stage research and development (R&D). To accomplish this, the VSD framework mandates that designers consult the philosophical and ethical literature to (...)
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  • AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
    This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...)
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  • A Value-Sensitive Design Approach to Intelligent Agents.Steven Umbrello & Angelo Frank De Bellis - 2018 - In Yampolskiy Roman (ed.), Artificial Intelligence Safety and Security. CRC Press. pp. 395-410.
    This chapter proposed a novel design methodology called Value-Sensitive Design and its potential application to the field of artificial intelligence research and design. It discusses the imperatives in adopting a design philosophy that embeds values into the design of artificial agents at the early stages of AI development. Because of the high risk stakes in the unmitigated design of artificial agents, this chapter proposes that even though VSD may turn out to be a less-than-optimal design methodology, it currently provides a (...)
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  • Developing artificial agents worthy of trust: “Would you buy a used car from this artificial agent?”. [REVIEW]F. S. Grodzinsky, K. W. Miller & M. J. Wolf - 2011 - Ethics and Information Technology 13 (1):17-27.
    There is a growing literature on the concept of e-trust and on the feasibility and advisability of “trusting” artificial agents. In this paper we present an object-oriented model for thinking about trust in both face-to-face and digitally mediated environments. We review important recent contributions to this literature regarding e-trust in conjunction with presenting our model. We identify three important types of trust interactions and examine trust from the perspective of a software developer. Too often, the primary focus of research in (...)
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  • Modelling Trust in Artificial Agents, A First Step Toward the Analysis of e-Trust.Mariarosaria Taddeo - 2010 - Minds and Machines 20 (2):243-257.
    This paper provides a new analysis of e - trust , trust occurring in digital contexts, among the artificial agents of a distributed artificial system. The analysis endorses a non-psychological approach and rests on a Kantian regulative ideal of a rational agent, able to choose the best option for itself, given a specific scenario and a goal to achieve. The paper first introduces e-trust describing its relevance for the contemporary society and then presents a new theoretical analysis of this phenomenon. (...)
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  • A note on the definition of “dual use”.John Forge - 2009 - Science and Engineering Ethics 16 (1):111-118.
    While there has been much interest in this topic, no generally accepted definition of dual use has been forthcoming. As a contribution to this issue, it is maintained that three related kinds of things comprise the category of dual use: research, technologies and artefacts. In regard to all three kinds, difficulties are identified in making clear distinctions between those that are and are not dual use. It is suggested that our classification should take account of actual capacities and willingness to (...)
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  • Integrating ethics in design through the value-sensitive design approach.Mary L. Cummings - 2006 - Science and Engineering Ethics 12 (4):701-715.
    The Accreditation Board of Engineering and Technology (ABET) has declared that to achieve accredited status, “engineering programs must demonstrate that their graduates have an understanding of professional and ethical responsibility.” Many engineering professors struggle to integrate this required ethics instruction in technical classes and projects because of the lack of a formalized ethics-in-design approach. However, one methodology developed in human-computer interaction research, the Value-Sensitive Design approach, can serve as an engineering education tool which bridges the gap between design and ethics (...)
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  • Trusting Digital Technologies Correctly.Mariarosaria Taddeo - 2017 - Minds and Machines 27 (4):565-568.
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  • Dual-use decision making: relational and positional issues.Nicholas G. Evans - 2014 - Monash Bioethics Review 32 (3-4):268-283.
    Debates about dual-use research often turn on the potential for scientific research to be used to benefit or harm humanity. This dual-use potential is conventionally understood as the product of the magnitude of the harms and benefits of dual-use research, multiplied by their likelihood. This account, however, neglects important social aspects of the use of science and technology. In this paper, I supplement existing conceptions of dual-use potential to account for the social context of dual-use research. This account incorporates relational (...)
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  • Artificial Intelligence and International Security: The Long View.Amandeep Singh Gill - 2019 - Ethics and International Affairs 33 (2):169-179.
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  • Dual Use Research: Investigation Across Multiple Science Disciplines.Shannon Oltmann - 2014 - Science and Engineering Ethics 21 (2):327-341.
    Most recent studies of dual use research have focused on the life sciences, although some researchers have suggested that dual use research occurs across many disciplines. This research is an initial investigation into the prevalence of dual use research in other scientific disciplines by surveying senior editors of scientific journals, drawn from Journal Citation Reports. The survey was emailed to 7,500 journal editors with a response rate of 10.1 %. Approximately 4.8 % of life science editors reported they had to (...)
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