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  1. There Is No Techno-Responsibility Gap.Daniel W. Tigard - 2020 - Philosophy and Technology 34 (3):589-607.
    In a landmark essay, Andreas Matthias claimed that current developments in autonomous, artificially intelligent systems are creating a so-called responsibility gap, which is allegedly ever-widening and stands to undermine both the moral and legal frameworks of our society. But how severe is the threat posed by emerging technologies? In fact, a great number of authors have indicated that the fear is thoroughly instilled. The most pessimistic are calling for a drastic scaling-back or complete moratorium on AI systems, while the optimists (...)
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  • Is tomorrow’s car appealing today? Ethical issues and user attitudes beyond automation.Darja Vrščaj, Sven Nyholm & Geert P. J. Verbong - 2020 - AI and Society 35 (4):1033-1046.
    The literature on ethics and user attitudes towards AVs discusses user concerns in relation to automation; however, we show that there are additional relevant issues at stake. To assess adolescents’ attitudes regarding the ‘car of the future’ as presented by car manufacturers, we conducted two studies with over 400 participants altogether. We used a mixed methods approach in which we combined qualitative and quantitative methods. In the first study, our respondents appeared to be more concerned about other aspects of AVs (...)
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  • AI Assistants and the Paradox of Internal Automaticity.William A. Bauer & Veljko Dubljević - 2020 - Neuroethics 13 (3):303-310.
    What is the ethical impact of artificial intelligence assistants on human lives, and specifically how much do they threaten our individual autonomy? Recently, as part of forming an ethical framework for thinking about the impact of AI assistants on our lives, John Danaher claims that if the external automaticity generated by the use of AI assistants threatens our autonomy and is therefore ethically problematic, then the internal automaticity we already live with should be viewed in the same way. He takes (...)
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  • Interperforming in AI: question of ‘natural’ in machine learning and recurrent neural networks.Tolga Yalur - 2020 - AI and Society 35 (3):737-745.
    This article offers a critical inquiry of contemporary neural network models as an instance of machine learning, from an interdisciplinary perspective of AI studies and performativity. It shows the limits on the architecture of these network systems due to the misemployment of ‘natural’ performance, and it offers ‘context’ as a variable from a performative approach, instead of a constant. The article begins with a brief review of machine learning-based natural language processing systems and continues with a concentration on the relevant (...)
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  • Unique Ethical Challenges for the 21st Century: Online Technology and Virtue Education.Matthew Dennis & Tom Harrison - 2021 - Journal of Moral Education 50 (3):251-266.
    ABSTRACT Living well in the 21st century will present human beings with a unique set of demands and ethical challenges, many of which will require a rapid response to developments in the online space. Online activities increasingly permeate our practical lives. Although there is every indication that this activity will intensify, even experts on digital technology recognise that the precise effects of future emergent technology will be uncertain and remain unknown. We argue that education directed at the cultivation of cyber-wisdom (...)
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  • Achieving Operational Excellence Through Artificial Intelligence: Driving Forces and Barriers.Muhammad Usman Tariq, Marc Poulin & Abdullah A. Abonamah - 2021 - Frontiers in Psychology 12.
    This paper presents an in-depth literature review on the driving forces and barriers for achieving operational excellence through artificial intelligence. Artificial intelligence is a technological concept spanning operational management, philosophy, humanities, statistics, mathematics, computer sciences, and social sciences. AI refers to machines mimicking human behavior in terms of cognitive functions. The evolution of new technological procedures and advancements in producing intelligence for machines creates a positive impact on decisions, operations, strategies, and management incorporated in the production process of goods and (...)
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  • Artificial intelligence, culture and education.Sergey B. Kulikov & Anastasiya V. Shirokova - 2021 - AI and Society 36 (1):305-318.
    Sequential transformative design of research :224–235, 2015; Groleau et al. in J Mental Health 16:731–741, 2007; Robson and McCartan in Real world research: a resource for users of social research methods in applied settings, Wiley, Chichester, 2016) allows testing a group of theoretical assumptions about the connections of artificial intelligence with culture and education. In the course of research, semiotics ensures the description of self-organizing systems of cultural signs and symbols in terms of artificial intelligence as a special set of (...)
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  • Expanding Nallur's Landscape of Machine Implemented Ethics.William A. Bauer - 2020 - Science and Engineering Ethics 26 (5):2401-2410.
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  • Virtual Reality and the Meaning of Life.John Danaher - forthcoming - In Oxford Handbook on Meaning in Life.
    It is commonly assumed that a virtual life would be less meaningful (perhaps even meaningless). As virtual reality technologies develop and become more integrated into our everyday lives, this poses a challenge for those that care about meaning in life. In this chapter, it is argued that the common assumption about meaninglessness and virtuality is mistaken. After clarifying the distinction between two different visions of virtual reality, four arguments are presented for thinking that meaning is possible in virtual reality. Following (...)
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  • AI Assistants and the Paradox of Internal Automaticity.William A. Bauer & Veljko Dubljević - 2020 - Neuroethics 13 (3):303-310.
    What is the ethical impact of artificial intelligence assistants on human lives, and specifically how much do they threaten our individual autonomy? Recently, as part of forming an ethical framework for thinking about the impact of AI assistants on our lives, John Danaher claims that if the external automaticity generated by the use of AI assistants threatens our autonomy and is therefore ethically problematic, then the internal automaticity we already live with should be viewed in the same way. He takes (...)
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