19 found

Year:

  1.  29
    Digital akrasia: a qualitative study of phubbing.Jesper Aagaard - 2020 - AI and Society 35 (1):237-244.
    The present article focuses on the issue of ignoring conversational partners in favor of one’s phone, or what has also become known as phubbing. Prior research has shown that this behavior is associated with a host of negative interpersonal consequences. Since phubbing by definition entails adverse effects, however, it is interesting to explore why people continue to engage in this hurtful behavior: Are they unaware that phubbing is hurtful to others? Or do they simply not care? Building on interviews with (...)
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  2.  12
    Legal framework for small autonomous agricultural robots.Subhajit Basu, Adekemi Omotubora, Matt Beeson & Charles Fox - 2020 - AI and Society 35 (1):113-134.
    Legal structures may form barriers to, or enablers of, adoption of precision agriculture management with small autonomous agricultural robots. This article develops a conceptual regulatory framework for small autonomous agricultural robots, from a practical, self-contained engineering guide perspective, sufficient to get working research and commercial agricultural roboticists quickly and easily up and running within the law. The article examines the liability framework, or rather lack of it, for agricultural robotics in EU, and their transpositions to UK law, as a case (...)
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  3.  72
    Social choice ethics in artificial intelligence.Seth D. Baum - 2020 - AI and Society 35 (1):165-176.
    A major approach to the ethics of artificial intelligence is to use social choice, in which the AI is designed to act according to the aggregate views of society. This is found in the AI ethics of “coherent extrapolated volition” and “bottom–up ethics”. This paper shows that the normative basis of AI social choice ethics is weak due to the fact that there is no one single aggregate ethical view of society. Instead, the design of social choice AI faces three (...)
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  4.  27
    Bird Song Diamond in Deep Space 8k.John Brumley, Charles Taylor, Reiji Suzuki, Takashi Ikegami, Victoria Vesna & Hiroo Iwata - 2020 - AI and Society 35 (1):87-101.
    The Bird Song Diamond project is a series of multifaceted and multidisciplinary installations with the aim of bringing contemporary research on bird communication to a large public audience. Using art and technology to create immersive experiences, BSD allows large audiences to embody bird communication rather than passively observe. In particular, BSD Mimic, a system for mimicking bird song, asks participants to grapple with both audition and vocalization of birdsong. The use of interactive installations for public outreach provides unique experiences to (...)
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  5.  13
    AI Recognition of Differences Among Book-Length Texts.Stephen J. DeCanio - 2020 - AI and Society 35 (1):135-146.
    Can an Artificial Intelligence make distinctions among major works of politics, philosophy, and fiction without human assistance? In this paper, latent semantic analysis is used to find patterns in a relatively small sample of notable works archived by Project Gutenberg. It is shown that an LSA-equipped AI can distinguish quite sharply between fiction and non-fiction works, and can detect some differences between political philosophy and history, and between conventional fiction and fantasy/science fiction. It is conjectured that this capability is a (...)
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  6.  19
    An invitation to critical social science of big data: from critical theory and critical research to omniresistance.Ulaş Başar Gezgin - 2020 - AI and Society 35 (1):187-195.
    How a social science of big data would look like? In this article, we exemplify such a social science through a number of cases. We start our discussion with the epistemic qualities of big data. We point out to the fact that contrary to the big data champions, big data is neither new nor a miracle without any error nor reliable and rigorous as assumed by its cheer leaders. Secondly, we identify three types of big data: natural big data, artificial (...)
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  7.  12
    Dance of the Artificial Alignment and Ethics.Karamjit S. Gill - 2020 - AI and Society 35 (1):1-4.
  8.  72
    What do we owe to intelligent robots?John-Stewart Gordon - 2020 - AI and Society 35 (1):209-223.
    Great technological advances in such areas as computer science, artificial intelligence, and robotics have brought the advent of artificially intelligent robots within our reach within the next century. Against this background, the interdisciplinary field of machine ethics is concerned with the vital issue of making robots “ethical” and examining the moral status of autonomous robots that are capable of moral reasoning and decision-making. The existence of such robots will deeply reshape our socio-political life. This paper focuses on whether such highly (...)
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  9.  22
    The Borg–eye and the We–I. The production of a collective living body through wearable computers.Nicola Liberati - 2020 - AI and Society 35 (1):39-49.
    The aim of this work is to analyze the constitution of a new collective subject thanks to wearable computers. Wearable computers are emerging technologies which are supposed to become pervasively used in the near future. They are devices designed to be on us every single moment of our life and to capture every experience we have. Therefore, we need to be prepared to such intrusive devices and to analyze potential effect they will have on us and our society. Thanks to (...)
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  10.  16
    Is it possible to cure Internet addiction with the Internet?William Liu, Farhaan Mirza, Ajit Narayanan & Seng Souligna - 2020 - AI and Society 35 (1):245-255.
    Significant technological advancements over the last two decades have led to enhanced accessibility to computing devices and the Internet. Our society is experiencing an ever-growing integration of the Internet into everyday lives, and this has transformed the way we obtain and exchange information, communicate and interact with one another as well as conduct business. However, the term ‘Internet addiction’ has emerged from problematic and excessive Internet usage which leads to the development of addictive cyber-behaviours, causing health and social problems. The (...)
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  11.  40
    Artificial Intelligence: Consciousness and Conscience.Gunter Meissner - 2020 - AI and Society 35 (1):225-235.
    Our society is in the middle of the AI revolution. We discuss several applications of AI, in particular medical causality, where deep-learning neural networks screen through big data bases, extracting associations between a patient’s condition and possible causes. While beneficial in medicine, several questionable AI trading strategies have emerged in finance. Though advantages in many aspects of our lives, serious threats of AI exist. We suggest several regulatory measures to reduce these threats. We further discuss whether ‘full AI robots’ should (...)
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  12. The problem of machine ethics in artificial intelligence.Rajakishore Nath & Vineet Sahu - 2020 - AI and Society 35 (1):103-111.
    The advent of the intelligent robot has occupied a significant position in society over the past decades and has given rise to new issues in society. As we know, the primary aim of artificial intelligence or robotic research is not only to develop advanced programs to solve our problems but also to reproduce mental qualities in machines. The critical claim of artificial intelligence advocates is that there is no distinction between mind and machines and thus they argue that there are (...)
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  13.  16
    The contradictions of digital modernity.Kieron O’Hara - 2020 - AI and Society 35 (1):197-208.
    This paper explores the concept of digital modernity, the extension of narratives of modernity with the special affordances of digital networked technology. Digital modernity produces a new narrative which can be taken in many ways: to be descriptive of reality; a teleological account of an inexorable process; or a normative account of an ideal sociotechnical state. However, it is understood that narratives of digital modernity help shape reality via commercial and political decision-makers, and examples are given from the politics and (...)
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  14.  18
    Digital hermeneutics: from interpreting with machines to interpretational machines.Alberto Romele, Marta Severo & Paolo Furia - 2020 - AI and Society 35 (1):73-86.
    Today, there is an emerging interest for the potential role of hermeneutics in reflecting on the practices related to digital technologies and their consequences. Nonetheless, such an interest has neither given rise to a unitary approach nor to a shared debate. The primary goal of this paper is to map and synthetize the different existing perspectives to pave the way for an open discussion on the topic. The article is developed in two steps. In the first section, the authors analyze (...)
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  15.  16
    Organic and dynamic tool for use with knowledge base of AI ethics for promoting engineers’ practice of ethical AI design.Kaira Sekiguchi & Koichi Hori - 2020 - AI and Society 35 (1):51-71.
    In recent years, ethical questions related to the development of artificial intelligence are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with AI technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of AI ethics for engineers to promote engineers’ practice of ethical AI design to realize further social values. Here, “organic” means that the tool deals with complex relationships among different (...)
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  16.  23
    Potential of full human–machine symbiosis through truly intelligent cognitive systems.Ron Sun - 2020 - AI and Society 35 (1):17-28.
    It is highly likely that, to achieve full human–machine symbiosis, truly intelligent cognitive systems—human-like —may have to be developed first. Such systems should not only be capable of performing human-like thinking, reasoning, and problem solving, but also be capable of displaying human-like motivation, emotion, and personality. In this opinion article, I will argue that such systems are indeed possible and needed to achieve true and full symbiosis with humans. A computational cognitive architecture is used in this article to illustrate, in (...)
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  17. Classification of Global Catastrophic Risks Connected with Artificial Intelligence.Alexey Turchin & David Denkenberger - 2020 - AI and Society 35 (1):147-163.
    A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at various levels of (...)
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  18. The Future of War: The Ethical Potential of Leaving War to Lethal Autonomous Weapons.Steven Umbrello, Phil Torres & Angelo F. De Bellis - 2020 - AI and Society 35 (1):273-282.
    Lethal Autonomous Weapons (LAWs) are robotic weapons systems, primarily of value to the military, that could engage in offensive or defensive actions without human intervention. This paper assesses and engages the current arguments for and against the use of LAWs through the lens of achieving more ethical warfare. Specific interest is given particularly to ethical LAWs, which are artificially intelligent weapons systems that make decisions within the bounds of their ethics-based code. To ensure that a wide, but not exhaustive, survey (...)
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  19.  11
    The role of robotics and AI in technologically mediated human evolution: a constructive proposal.Jeffrey White - 2020 - AI and Society 35 (1):177-185.
    This paper proposes that existing computational modeling research programs may be combined into platforms for the information of public policy. The main idea is that computational models at select levels of organization may be integrated in natural terms describing biological cognition, thereby normalizing a platform for predictive simulations able to account for both human and environmental costs associated with different action plans and institutional arrangements over short and long time spans while minimizing computational requirements. Building from established research programs, the (...)
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