Results for 'Autonomous Machines'

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  1.  43
    External Human–Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work. [REVIEW]Alexandros Rouchitsas & Håkan Alm - 2019 - Frontiers in Psychology 10.
    Interaction between drivers and pedestrians is often facilitated by informal communicative cues, like hand gestures, facial expressions, and eye contact. In the near future, however, when semi- and fully autonomous vehicles are introduced into the traffic system, drivers will gradually assume the role of mere passengers, who are casually engaged in non-driving-related activities and, therefore, unavailable to participate in traffic interaction. In this novel traffic environment, advanced communication interfaces will need to be developed that inform pedestrians of the current (...)
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  2. Lethal Autonomous Weapons: Designing War Machines with Values.Steven Umbrello - 2019 - Delphi: Interdisciplinary Review of Emerging Technologies 1 (2):30-34.
    Lethal Autonomous Weapons (LAWs) have becomes the subject of continuous debate both at national and international levels. Arguments have been proposed both for the development and use of LAWs as well as their prohibition from combat landscapes. Regardless, the development of LAWs continues in numerous nation-states. This paper builds upon previous philosophical arguments for the development and use of LAWs and proposes a design framework that can be used to ethically direct their development. The conclusion is that the philosophical (...)
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  3. Autonomous Reboot: The Challenges of Artificial Moral Agency and the Ends of Machine Ethics.Jeffrey White - manuscript
    Ryan Tonkens (2009) has issued a seemingly impossible challenge, to articulate a comprehensive ethical framework within which artificial moral agents (AMAs) satisfy a Kantian inspired recipe - both "rational" and "free" - while also satisfying perceived prerogatives of Machine Ethics to create AMAs that are perfectly, not merely reliably, ethical. Challenges for machine ethicists have also been presented by Anthony Beavers and Wendell Wallach, who have pushed for the reinvention of traditional ethics in order to avoid "ethical nihilism" due to (...)
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  4.  96
    Making Moral Machines: Why We Need Artificial Moral Agents.Paul Formosa & Malcolm Ryan - forthcoming - AI and Society.
    As robots and Artificial Intelligences become more enmeshed in rich social contexts, it seems inevitable that we will have to make them into moral machines equipped with moral skills. Apart from the technical difficulties of how we could achieve this goal, we can also ask the ethical question of whether we should seek to create such Artificial Moral Agents (AMAs). Recently, several papers have argued that we have strong reasons not to develop AMAs. In response, we develop a comprehensive (...)
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  5. Picturing Mind Machines, An Adaptation by Janneke van Leeuwen.Simon van Rysewyk & Janneke van Leeuwen - 2014 - In Simon Peter van Rysewyk & Matthijs Pontier (eds.), Machine Medical Ethics. Springer.
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  6. Machine Art or Machine Artists? Dennett, Danto, and the Expressive Stance.Adam Linson - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence (Synthese Library). Berlin: Springer. pp. 441-456.
    As art produced by autonomous machines becomes increasingly common, and as such machines grow increasingly sophisticated, we risk a confusion between art produced by a person but mediated by a machine, and art produced by what might be legitimately considered a machine artist. This distinction will be examined here. In particular, my argument seeks to close a gap between, on one hand, a philosophically grounded theory of art and, on the other hand, theories concerned with behavior, intentionality, (...)
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  7. Consequentialism & Machine Ethics: Towards a Foundational Machine Ethic to Ensure the Right Action of Artificial Moral Agents.Josiah Della Foresta - 2020 - Montreal AI Ethics Institute.
    In this paper, I argue that Consequentialism represents a kind of ethical theory that is the most plausible to serve as a basis for a machine ethic. First, I outline the concept of an artificial moral agent and the essential properties of Consequentialism. Then, I present a scenario involving autonomous vehicles to illustrate how the features of Consequentialism inform agent action. Thirdly, an alternative Deontological approach will be evaluated and the problem of moral conflict discussed. Finally, two bottom-up approaches (...)
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  8. Should Machines Be Tools or Tool-Users? Clarifying Motivations and Assumptions in the Quest for Superintelligence.Dan J. Bruiger - manuscript
    Much of the basic non-technical vocabulary of artificial intelligence is surprisingly ambiguous. Some key terms with unclear meanings include intelligence, embodiment, simulation, mind, consciousness, perception, value, goal, agent, knowledge, belief, optimality, friendliness, containment, machine and thinking. Much of this vocabulary is naively borrowed from the realm of conscious human experience to apply to a theoretical notion of “mind-in-general” based on computation. However, if there is indeed a threshold between mechanical tool and autonomous agent (and a tipping point for singularity), (...)
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  9.  78
    Moral Agents or Mindless Machines? A Critical Appraisal of Agency in Artificial Systems.Fabio Tollon - 2019 - Hungarian Philosophical Review 4 (63):9-23.
    In this paper I provide an exposition and critique of Johnson and Noorman’s (2014) three conceptualizations of the agential roles artificial systems can play. I argue that two of these conceptions are unproblematic: that of causally efficacious agency and “acting for” or surrogate agency. Their third conception, that of “autonomous agency,” however, is one I have reservations about. The authors point out that there are two ways in which the term “autonomy” can be used: there is, firstly, the engineering (...)
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  10. Fire and Forget: A Moral Defense of the Use of Autonomous Weapons in War and Peace.Duncan MacIntosh - 2021 - In Jai Galliott, Duncan MacIntosh & Jens David Ohlin (eds.), Lethal Autonomous Weapons: Re-Examining the Law and Ethics of Robotic Warfare. Oxford University Press. pp. 9-23.
    Autonomous and automatic weapons would be fire and forget: you activate them, and they decide who, when and how to kill; or they kill at a later time a target you’ve selected earlier. Some argue that this sort of killing is always wrong. If killing is to be done, it should be done only under direct human control. (E.g., Mary Ellen O’Connell, Peter Asaro, Christof Heyns.) I argue that there are surprisingly many kinds of situation where this is false (...)
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  11. Jewish Law, Techno-Ethics, and Autonomous Weapon Systems: Ethical-Halakhic Perspectives.Nadav S. Berman - 2020 - Jewish Law Association Studies 29:91-124.
    Techno-ethics is the area in the philosophy of technology which deals with emerging robotic and digital AI technologies. In the last decade, a new techno-ethical challenge has emerged: Autonomous Weapon Systems (AWS), defensive and offensive (the article deals only with the latter). Such AI-operated lethal machines of various forms (aerial, marine, continental) raise substantial ethical concerns. Interestingly, the topic of AWS was almost not treated in Jewish law and its research. This article thus proposes an introductory ethical-halakhic perspective (...)
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  12.  23
    असंभव, अपूर्णता, अपूर्णता, झूठा विरोधाभास, सिद्धांतवाद, गणना की सीमा, एक गैर-क्वांटम यांत्रिक अनिश्चितता सिद्धांत और कंप्यूटर के रूप में ब्रह्मांड पर Wolpert, Chaitin और Wittgenstein ट्यूरिंग मशीन थ्योरी में अंतिम प्रमेय --Wolpert, Chaitin and Wittgenstein on impossibility, incompleteness, the liar paradox, theism, the limits of computation, a non-quantum mechanical uncertainty principle and the universe as computer—the ultimate theorem in Turing Machine Theory (संशोधित 2019).Michael Richard Starks - 2020 - In पृथ्वी पर नर्क में आपका स्वागत है: शिशुओं, जलवायु परिवर्तन, बिटकॉइन, कार्टेल, चीन, लोकतंत्र, विविधता, समानता, हैकर्स, मानव अधिकार, इस्लाम, उदारवाद, समृद्धि, वेब, अराजकता, भुखमरी, बीमारी, हिंसा, कृत्रिम बुद्धिमत्ता, युद्ध. Las Vegas, NV, USA: Reality Press. pp. 215-220.
    मैं कंप्यूटर के रूप में गणना और ब्रह्मांड की सीमा के कई हाल ही में चर्चा पढ़ लिया है, polymath भौतिक विज्ञानी और निर्णय सिद्धांतकार डेविड Wolpert के अद्भुत काम पर कुछ टिप्पणी खोजने की उम्मीद है, लेकिन एक भी प्रशस्ति पत्र नहीं मिला है और इसलिए मैं यह बहुत संक्षिप्त मौजूद सारांश. Wolpert कुछ आश्चर्यजनक असंभव या अधूरापन प्रमेयों साबित कर दिया (1992 से 2008-देखें arxiv dot org) अनुमान के लिए सीमा पर (कम्प्यूटेशन) कि इतने सामान्य वे गणना कर (...)
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  13. When is a Robot a Moral Agent.John P. Sullins - 2006 - International Review of Information Ethics 6 (12):23-30.
    In this paper Sullins argues that in certain circumstances robots can be seen as real moral agents. A distinction is made between persons and moral agents such that, it is not necessary for a robot to have personhood in order to be a moral agent. I detail three requirements for a robot to be seen as a moral agent. The first is achieved when the robot is significantly autonomous from any programmers or operators of the machine. The second is (...)
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  14. Social Machinery and Intelligence.Nello Cristianini, James Ladyman & Teresa Scantamburlo - manuscript
    Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class of (...)
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  15.  59
    Superinteligentny Lewiatan: Zarys problemu autonomii człowieka a autonomizacji urządzeń.Adrian Mróz - 2020 - Kultura I Historia 37 (1):1-18.
    Celem niniejszej pracy jest zastosowanie wizji „Lewiatana” Thomasa Hobbesa do koncepcji superinteligencji lub nadludzkiej inteligencji, które dyskutowane jest wśród transhumanistów i poruszone jest przez takich filozofów i futurologów jak między innymi Nick Bostrom, Stanisław Lem, albo Ray Kurzweil. Inspiracją mojej pracy były pytania w rodzaju: „kiedy człowiek przestaje być autonomicznym podmiotem?” albo „czy człowiek w ogóle może być samodzielny?”. Niemniej jednak wydaje mi się, że takie pytania mogą się pojawić wtedy, kiedy człowieka rozpoznamy jako zwierzę polityczne (politikon zoon w sensie (...)
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  16. Il sistema della ricchezza. Economia politica e problema del metodo in Adam Smith.Sergio Volodia Marcello Cremaschi - 1984 - Milano, Italy: Franco Angeli.
    Introduction. The book is a study in Adam Smith's system of ideas; its aim is to reconstruct the peculiar framework that Adam Smith’s work provided for the shaping of a semi-autonomous new discipline, political economy; the approach adopted lies somewhere in-between the history of ideas and the history of economic analysis. My two claims are: i) The Wealth of Nations has a twofold structure, including a `natural history' of opulence and an `imaginary machine' of wealth. The imaginary machine is (...)
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  17. Incorporating Ethics Into Artificial Intelligence.Amitai Etzioni & Oren Etzioni - 2017 - The Journal of Ethics 21 (4):403-418.
    This article reviews the reasons scholars hold that driverless cars and many other AI equipped machines must be able to make ethical decisions, and the difficulties this approach faces. It then shows that cars have no moral agency, and that the term ‘autonomous’, commonly applied to these machines, is misleading, and leads to invalid conclusions about the ways these machines can be kept ethical. The article’s most important claim is that a significant part of the challenge (...)
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  18. An Analysis of the Interaction Between Intelligent Software Agents and Human Users.Christopher Burr, Nello Cristianini & James Ladyman - 2018 - Minds and Machines 28 (4):735-774.
    Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these (...)
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  19. Philosophical Signposts for Artificial Moral Agent Frameworks.Robert James M. Boyles - 2017 - Suri 6 (2):92–109.
    This article focuses on a particular issue under machine ethics—that is, the nature of Artificial Moral Agents. Machine ethics is a branch of artificial intelligence that looks into the moral status of artificial agents. Artificial moral agents, on the other hand, are artificial autonomous agents that possess moral value, as well as certain rights and responsibilities. This paper demonstrates that attempts to fully develop a theory that could possibly account for the nature of Artificial Moral Agents may consider certain (...)
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  20. ETHICA EX MACHINA. Exploring Artificial Moral Agency or the Possibility of Computable Ethics.Rodrigo Sanz - 2020 - Zeitschrift Für Ethik Und Moralphilosophie 3 (2):223-239.
    Since the automation revolution of our technological era, diverse machines or robots have gradually begun to reconfigure our lives. With this expansion, it seems that those machines are now faced with a new challenge: more autonomous decision-making involving life or death consequences. This paper explores the philosophical possibility of artificial moral agency through the following question: could a machine obtain the cognitive capacities needed to be a moral agent? In this regard, I propose to expose, under a (...)
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  21. Artificial Morality: Making of the Artificial Moral Agents.Petar Nurkić & Marija Kušić - 2019 - Belgrade Philosophical Annual 1 (32):27-49.
    Abstract: Artificial Morality is a new, emerging interdisciplinary field that centres around the idea of creating artificial moral agents, or AMAs, by implementing moral competence in artificial systems. AMAs are ought to be autonomous agents capable of socially correct judgements and ethically functional behaviour. This request for moral machines comes from the changes in everyday practice, where artificial systems are being frequently used in a variety of situations from home help and elderly care purposes to banking and court (...)
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  22. Trusting the (Ro)Botic Other: By Assumption?Paul B. de Laat - 2015 - SIGCAS Computers and Society 45 (3):255-260.
    How may human agents come to trust (sophisticated) artificial agents? At present, since the trust involved is non-normative, this would seem to be a slow process, depending on the outcomes of the transactions. Some more options may soon become available though. As debated in the literature, humans may meet (ro)bots as they are embedded in an institution. If they happen to trust the institution, they will also trust them to have tried out and tested the machines in their back (...)
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  23. Risks of Artificial General Intelligence.Vincent C. Müller (ed.) - 2014 - Taylor & Francis (JETAI).
    Special Issue “Risks of artificial general intelligence”, Journal of Experimental and Theoretical Artificial Intelligence, 26/3 (2014), ed. Vincent C. Müller. http://www.tandfonline.com/toc/teta20/26/3# - Risks of general artificial intelligence, Vincent C. Müller, pages 297-301 - Autonomous technology and the greater human good - Steve Omohundro - pages 303-315 - - - The errors, insights and lessons of famous AI predictions – and what they mean for the future - Stuart Armstrong, Kaj Sotala & Seán S. Ó hÉigeartaigh - pages 317-342 - (...)
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  24. Why Life is Necessary for Mind: The Significance of Animate Behavior.Douglas C. Long - 2010 - In James O'Shea Eric Rubenstein (ed.), Self, Language, and World:Problems from Kant, Sellars, and Rosenberg. Ridgeview Publishing Co. pp. 61-88.
    I defend the thesis that psychological states can be literally ascribed only to living creatures and not to nonliving machines, such as sophisticated robots. Defenders of machine consciousness do not sufficiently appreciate the importance of the biological nature of a subject for the psychological significance of its behavior. Simulations of a computer-controlled, nonliving autonomous robot cannot carry the same psychological meaning as animate behavior. Being a living creature is an essential link between genuinely expressive behavior and justified psychological (...)
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  25. Risks of Artificial Intelligence.Vincent C. Müller (ed.) - 2016 - CRC Press - Chapman & Hall.
    Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to (...)
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  26. Manufacturing Morality A General Theory of Moral Agency Grounding Computational Implementations: The ACTWith Model.Jeffrey White - 2013 - In Floares (ed.), Computational Intelligence. Nova Publications. pp. 1-65.
    The ultimate goal of research into computational intelligence is the construction of a fully embodied and fully autonomous artificial agent. This ultimate artificial agent must not only be able to act, but it must be able to act morally. In order to realize this goal, a number of challenges must be met, and a number of questions must be answered, the upshot being that, in doing so, the form of agency to which we must aim in developing artificial agents (...)
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  27.  28
    Consensus-Based Data Management Within Fog Computing For the Internet of Things.Al-Doghman Firas Qais Mohammed Saleh - 2019 - Dissertation, University of Technology Sydney
    The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This (...)
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  28.  26
    Autonomous Vehicles: From Whether and When to Where and How.Luciano Floridi - 2019 - Philosophy and Technology 32 (4):569-573.
    The digital revolution, in the form of autonomous driving, is changing the very essence of mobility. This paper discusses four different ways in which these transformations are taking place and argues that public policies and business strategies need to focus on innovating and re-engineering (enveloping) whole environments. Only then will autonomous vehicles become an ordinary – and environmentally sustainable – reality. -/- .
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  29. Transhumanism Between Human Enhancement and Technological Innovation.Ion Iuga - 2016 - Symposion: Theoretical and Applied Inquiries in Philosophy and Social Sciences 3 (1):79-88.
    Transhumanism introduces from its very beginning a paradigm shift about concepts like human nature, progress and human future. An overview of its ideology reveals a strong belief in the idea of human enhancement through technologically means. The theory of technological singularity, which is more or less a radicalisation of the transhumanist discourse, foresees a radical evolutionary change through artificial intelligence. The boundaries between intelligent machines and human beings will be blurred. The consequence is the upcoming of a post-biological and (...)
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  30. Droit de la robotique: Livre blanc.Alain Bensoussan & Renaud Champion - 2016 - SYMOP.
    Histoire et utilisation du robot Bien que la robotique soit un marché économique relativement jeune et en pleine croissance, la genèse des robots remonte à l’Antiquité. Le premier robot à être déployé sur des lignes d’assemblage est Unimate, utilisé dès 1961 par General Motors. La robotique, en se di usant dans tous les pans de notre économie, va impacter les business modèles de nombreuses industries comme l’automobile et l’aéronautique mais aussi la construction ou l’agriculture. Aujourd’hui les robots industriels et de (...)
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  31.  55
    Take Another Little Piece of My Heart: A Note on Bridging Cognition and Emotions.Giuseppe Boccignone - 2017 - In Luca Tonetti & Nicole Cilia (eds.), Wired Bodies. New Perspectives on the Machine-Organism Analogy. Rome, Italy: CNR Edizioni.
    Science urges philosophy to be more empirical and philosophy urges science to be more reflective. This markedly occurred along the “discovery of the artificial” (CORDESCHI 2002): in the early days of Cybernetics and Artificial Intelligence (AI) researchers aimed at making machines more cognizant while setting up a framework to better understand human intelligence. By and large, those genuine goals still hold today, whereas AI has become more concerned with specific aspects of intelligence, such as (machine) learning, reasoning, vision, and (...)
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  32. Réguler les robots-tueurs, plutôt que les interdire.Vincent C. Müller & Thomas W. Simpson - 2015 - Multitudes 58 (1):77.
    This is the short version, in French translation by Anne Querrien, of the originally jointly authored paper: Müller, Vincent C., ‘Autonomous killer robots are probably good news’, in Ezio Di Nucci and Filippo Santoni de Sio, Drones and responsibility: Legal, philosophical and socio-technical perspectives on the use of remotely controlled weapons. - - - L’article qui suit présente un nouveau système d’armes fondé sur des robots qui risque d’être prochainement utilisé. À la différence des drones qui sont manoeuvrés à (...)
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  33. Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World.Vincent C. Müller & Aladdin Ayesh (eds.) - 2012 - AISB.
    Proceedings of the papers presented at the Symposium on "Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World" at the 2012 AISB and IACAP Symposium that was held in the Turing year 2012, 2–6 July at the University of Birmingham, UK. Ten papers. - http://www.pt-ai.org/turing-test --- Daniel Devatman Hromada: From Taxonomy of Turing Test-Consistent Scenarios Towards Attribution of Legal Status to Meta-modular Artificial Autonomous Agents - Michael Zillich: My Robot is Smarter than Your Robot: On the Need (...)
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  34. Can Machines Read Our Minds?Christopher Burr & Nello Cristianini - 2019 - Minds and Machines 29 (3):461-494.
    We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual (...)
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  35. Organisms ≠ Machines.Daniel J. Nicholson - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):669-678.
    The machine conception of the organism (MCO) is one of the most pervasive notions in modern biology. However, it has not yet received much attention by philosophers of biology. The MCO has its origins in Cartesian natural philosophy, and it is based on the metaphorical redescription of the organism as a machine. In this paper I argue that although organisms and machines resemble each other in some basic respects, they are actually very different kinds of systems. I submit that (...)
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  36.  98
    Establishing the Rules for Building Trustworthy AI.Luciano Floridi - 2019 - Nature Machine Intelligence 1:261-262.
    AI is revolutionizing everyone’s life, and it is crucial that it does so in the right way. AI’s profound and far-reaching potential for transformation concerns the engineering of systems that have some degree of autonomous agency. This is epochal and requires establishing a new, ethical balance between human and artificial autonomy.
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  37. Autonomous Weapons Systems and the Moral Equality of Combatants.Michael Skerker, Duncan Purves & Ryan Jenkins - 2020 - Ethics and Information Technology 3 (6).
    To many, the idea of autonomous weapons systems (AWS) killing human beings is grotesque. Yet critics have had difficulty explaining why it should make a significant moral difference if a human combatant is killed by an AWS as opposed to being killed by a human combatant. The purpose of this paper is to explore the roots of various deontological concerns with AWS and to consider whether these concerns are distinct from any concerns that also apply to long- distance, human-guided (...)
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  38. Autonomous Killer Robots Are Probably Good News.Vincent C. Müller - 2016 - In Ezio Di Nucci & Filippo Santonio de Sio (eds.), Drones and responsibility: Legal, philosophical and socio-technical perspectives on the use of remotely controlled weapons. London: Ashgate. pp. 67-81.
    Will future lethal autonomous weapon systems (LAWS), or ‘killer robots’, be a threat to humanity? The European Parliament has called for a moratorium or ban of LAWS; the ‘Contracting Parties to the Geneva Convention at the United Nations’ are presently discussing such a ban, which is supported by the great majority of writers and campaigners on the issue. However, the main arguments in favour of a ban are unsound. LAWS do not support extrajudicial killings, they do not take responsibility (...)
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  39. The Machine Conception of the Organism in Development and Evolution: A Critical Analysis.Daniel J. Nicholson - 2014 - Studies in History and Philosophy of Biological and Biomedical Sciences 48:162-174.
    This article critically examines one of the most prevalent metaphors in modern biology, namely the machine conception of the organism (MCO). Although the fundamental differences between organisms and machines make the MCO an inadequate metaphor for conceptualizing living systems, many biologists and philosophers continue to draw upon the MCO or tacitly accept it as the standard model of the organism. This paper analyses the specific difficulties that arise when the MCO is invoked in the study of development and evolution. (...)
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  40. The Autonomous Life: A Pure Social View.Michael Garnett - 2014 - Australasian Journal of Philosophy 92 (1):143-158.
    In this paper I propose and develop a social account of global autonomy. On this view, a person is autonomous simply to the extent to which it is difficult for others to subject her to their wills. I argue that many properties commonly thought necessary for autonomy are in fact properties that tend to increase an agent’s immunity to such interpersonal subjection, and that the proposed account is therefore capable of providing theoretical unity to many of the otherwise heterogeneous (...)
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  41. Why Machine-Information Metaphors Are Bad for Science and Science Education.Massimo Pigliucci & Maarten Boudry - 2011 - Science & Education 20 (5-6):471.
    Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. Impor- (...)
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  42. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems.Owen King - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 265-282.
    Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...)
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  43. 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, (...)
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  44. Autonomous Weapons Systems, the Frame Problem and Computer Security.Michał Klincewicz - 2015 - Journal of Military Ethics 14 (2):162-176.
    Unlike human soldiers, autonomous weapons systems are unaffected by psychological factors that would cause them to act outside the chain of command. This is a compelling moral justification for their development and eventual deployment in war. To achieve this level of sophistication, the software that runs AWS will have to first solve two problems: the frame problem and the representation problem. Solutions to these problems will inevitably involve complex software. Complex software will create security risks and will make AWS (...)
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  45. Are Algorithms Value-Free? Feminist Theoretical Virtues in Machine Learning.Gabbrielle Johnson - forthcoming - Journal Moral Philosophy.
    As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from feminist philosophy of (...)
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  46. Autonomous Weapons and the Nature of Law and Morality: How Rule-of-Law-Values Require Automation of the Rule of Law.Duncan MacIntosh - 2016 - Temple International and Comparative Law Journal 30 (1):99-117.
    While Autonomous Weapons Systems have obvious military advantages, there are prima facie moral objections to using them. By way of general reply to these objections, I point out similarities between the structure of law and morality on the one hand and of automata on the other. I argue that these, plus the fact that automata can be designed to lack the biases and other failings of humans, require us to automate the formulation, administration, and enforcement of law as much (...)
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  47. Machines as Moral Patients We Shouldn’T Care About : The Interests and Welfare of Current Machines.John Basl - 2014 - Philosophy and Technology 27 (1):79-96.
    In order to determine whether current (or future) machines have a welfare that we as agents ought to take into account in our moral deliberations, we must determine which capacities give rise to interests and whether current machines have those capacities. After developing an account of moral patiency, I argue that current machines should be treated as mere machines. That is, current machines should be treated as if they lack those capacities that would give rise (...)
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  48.  16
    Clinical Applications of Machine Learning Algorithms: Beyond the Black Box.David S. Watson, Jenny Krutzinna, Ian N. Bruce, Christopher E. M. Griffiths, Iain B. McInnes, Michael R. Barnes & Luciano Floridi - 2019 - British Medical Journal 364:I886.
    Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.
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  49. Crash Algorithms for Autonomous Cars: How the Trolley Problem Can Move Us Beyond Harm Minimisation.Dietmar Hübner & Lucie White - 2018 - Ethical Theory and Moral Practice 21 (3):685-698.
    The prospective introduction of autonomous cars into public traffic raises the question of how such systems should behave when an accident is inevitable. Due to concerns with self-interest and liberal legitimacy that have become paramount in the emerging debate, a contractarian framework seems to provide a particularly attractive means of approaching this problem. We examine one such attempt, which derives a harm minimisation rule from the assumptions of rational self-interest and ignorance of one’s position in a future accident. We (...)
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  50. Minds and Machines.Hilary Putnam - 1960 - In Sidney Hook (ed.), Dimensions of Minds. New York, USA: New York University Press. pp. 138-164.
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