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  1. In the hands of machines? The future of aged care.Robert Sparrow & Linda Sparrow - 2006 - Minds and Machines 16 (2):141-161.
    It is remarkable how much robotics research is promoted by appealing to the idea that the only way to deal with a looming demographic crisis is to develop robots to look after older persons. This paper surveys and assesses the claims made on behalf of robots in relation to their capacity to meet the needs of older persons. We consider each of the roles that has been suggested for robots in aged care and attempt to evaluate how successful robots might (...)
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  • Killer robots.Robert Sparrow - 2007 - Journal of Applied Philosophy 24 (1):62–77.
    The United States Army’s Future Combat Systems Project, which aims to manufacture a “robot army” to be ready for deployment by 2012, is only the latest and most dramatic example of military interest in the use of artificially intelligent systems in modern warfare. This paper considers the ethics of a decision to send artificially intelligent robots into war, by asking who we should hold responsible when an autonomous weapon system is involved in an atrocity of the sort that would normally (...)
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  • The responsibility gap: Ascribing responsibility for the actions of learning automata. [REVIEW]Andreas Matthias - 2004 - Ethics and Information Technology 6 (3):175-183.
    Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...)
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  • Toward an Ethics of AI Assistants: an Initial Framework.John Danaher - 2018 - Philosophy and Technology 31 (4):629-653.
    Personal AI assistants are now nearly ubiquitous. Every leading smartphone operating system comes with a personal AI assistant that promises to help you with basic cognitive tasks: searching, planning, messaging, scheduling and so on. Usage of such devices is effectively a form of algorithmic outsourcing: getting a smart algorithm to do something on your behalf. Many have expressed concerns about this algorithmic outsourcing. They claim that it is dehumanising, leads to cognitive degeneration, and robs us of our freedom and autonomy. (...)
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  • Moral Deskilling and Upskilling in a New Machine Age: Reflections on the Ambiguous Future of Character.Shannon Vallor - 2015 - Philosophy and Technology 28 (1):107-124.
    This paper explores the ambiguous impact of new information and communications technologies on the cultivation of moral skills in human beings. Just as twentieth century advances in machine automation resulted in the economic devaluation of practical knowledge and skillsets historically cultivated by machinists, artisans, and other highly trained workers , while also driving the cultivation of new skills in a variety of engineering and white collar occupations, ICTs are also recognized as potential causes of a complex pattern of economic deskilling, (...)
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  • (1 other version)The whale and the reactor: a search for limits in an age of high technology.Langdon Winner - 1986 - Chicago: University of Chicago Press.
    "--David Dickson, New York Times Book Review "The Whale and the Reactor is the philosopher's equivalent of superb public history.
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  • Of Slide Rules and Stethoscopes: AI and the Future of Doctoring.Robert D. Truog - 2019 - Hastings Center Report 49 (5):3-3.
    Historically, the practice of medicine has been a physically intimate endeavor. Physicians have used their hands to palpate and reveal the secrets hidden within the body. Smelling the breath for the ketosis of diabetes or tasting the skin for the saltiness of cystic fibrosis were among the physician's essential practices. Today, perhaps the most defining characteristic of a brilliant clinician is the ability to synthesize many images—from electrocardiograms, ultrasounds, CT scans, and so forth—into a coherent picture that can guide our (...)
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