Results for 'the ghost in the machine'

999 found
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  1. The Ghost in the Machine has an American accent: value conflict in GPT-3.Rebecca Johnson, Giada Pistilli, Natalia Menedez-Gonzalez, Leslye Denisse Dias Duran, Enrico Panai, Julija Kalpokiene & Donald Jay Bertulfo - manuscript
    The alignment problem in the context of large language models must consider the plurality of human values in our world. Whilst there are many resonant and overlapping values amongst the world’s cultures, there are also many conflicting, yet equally valid, values. It is important to observe which cultural values a model exhibits, particularly when there is a value conflict between input prompts and generated outputs. We discuss how the co- creation of language and cultural value impacts large language models (LLMs). (...)
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  2. Ghost in the Machine: A Philosophical Analysis of the Relationship Between Brain-Computer Interface Applications and their Users.Richard Heersmink - 2009 - Dissertation, University of Twente.
    This Master’s thesis explores the relationship between Brain-Computer Interfaces (BCIs) and their human users from a functional, epistemological and phenomenological perspective. The analysis has four steps. I start out with a technical description of BCI systems in which I conceptually analyze different types of BCI applications. This results in the development of a taxonomy of applications which is the point of departure for further philosophical analysis. Thereafter, I explore the functional relationship between BCI applications and their users. That is to (...)
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  3. Breastfeeding Mothers’ Experiences: The Ghost in the Machine.Paul Regan & Elaine Ball - 2013 - Qualitative Health Research 23 (5):679-688.
    We critically review qualitative research studies conducted from 2000 to 2012 exploring Western mothers’ breastfeeding experiences. We used the search criteria “breastfeeding,” “qualitative,” and “experiences” to retrieve 74 qualitative research studies, which were reduced to 28 when the terms “existential’’ and “research’’ were applied. We found that the impact of technology and the pervasive worldwide marketing of infant formula devalued breastfeeding mothers’ narratives in a number of ways. Women’s bodies were viewed as machine-like objects and the breast was seen (...)
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  4. Ghosts and the Machine: Philosophy of Social Science in Contemporary Perspective.S. Turner & P. Roth - 2003 - In Stephen P. Turner & Paul Andrew Roth (eds.), The Blackwell Guide to the Philosophy of the Social Sciences. Blackwell. pp. 1--17.
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  5. Ghosting Inside the Machine: Student Cheating, Online Education and the Omertà of Institutional Liars.Shane J. Ralston - 2021 - In Alison MacKenzie, Jennifer Rose & Ibrar Bhatt (eds.), The Epistemology of Deceit in the Postdigital Era: Dupery by Design. Springer. pp. 251-264.
    'Ghosting' or the unethical practice of having someone other than the student registered in the course take the student's exams, complete their assignments and write their essays has become a common method of cheating in today's online higher education learning environment. Internet-based teaching technology and deceit go hand-in-hand because the technology establishes a set of perverse incentives for students to cheat and institutions to either tolerate or encourage this highly unethical form of behavior. For students, cheating becomes an increasingly attractive (...)
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  6. Putting the Ghost Back in the Machine: An Exploration of Somatic Dualism.Matthew Davidson - 2019 - Pacific Philosophical Quarterly 100 (2):624-641.
    In this paper, I explore various views on which mind-body dualism is true, but the soul is located in the body. I argue that this sort of dualism (which I call 'somatic dualism') once was a not-uncommon view in the philosophy of mind. I also argue that it has the resources to reply to some of the problems thought to affect Cartesian dualism.
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  7. The Story of the Ghost in the Machine.Adam Toon - forthcoming - In Sonia Sedivy (ed.), Art, Representation and Make-Believe: Essays on the Philosophy of Kendall L. Walton. New York, NY, USA:
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  8.  36
    Zombies in the Basement? Ghosts in the Floorboards?Walter Barta - manuscript
    Do the hard problem of consciousness and the simulation argument potentially resolve each other? Here we will argue for four possible views: that consciousness may be possible only (a) outside of, (b) inside and/or outside of, (c) inside of, or (d) interfacing with simulations. The first two of these views have been explored by David Chalmers and are used as jumping off points to introduce the latter two views, which are underdeveloped. If any one of these views could be proven (...)
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  9. Newspeak and Cyberspeak: The Haunting Ghosts of the Russian Past.Kristina Šekrst & Sandro Skansi - 2024 - In Chris Shei & James Schnell (eds.), The Routledge Handbook of Language and Mind Engineering. Routledge.
    Cyberspeak, the language of cybernetics, or its metalanguage to be more precise, consists of words that are both explaining and describing human/animal and machine forms of control and communication, while in newspeak, words were value-laden, which means they had strong positive or negative connotations connected to their use. For example, a 'spy' could only be a foreign agent, while a Russian one was a 'patriot'. First, it will be shown how there are still remnants of cyberspeak in modern science, (...)
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  10. The nonhuman condition: Radical democracy through new materialist lenses.Hans Asenbaum, Amanda Machin, Jean-Paul Gagnon, Diana Leong, Melissa Orlie & James Louis Smith - 2023 - Contemporary Political Theory (Online first):584-615.
    Radical democratic thinking is becoming intrigued by the material situatedness of its political agents and by the role of nonhuman participants in political interaction. At stake here is the displacement of narrow anthropocentrism that currently guides democratic theory and practice, and its repositioning into what we call ‘the nonhuman condition’. This Critical Exchange explores the nonhuman condition. It asks: What are the implications of decentering the human subject via a new materialist reading of radical democracy? Does this reading dilute political (...)
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  11. The Ghosts I Do Know: Rhythm, Dickinson, Crane.Dustin Hellberg - 2014 - Consciousness, Literature and the Arts 15 (3).
    This paper will examine poetry and rhythm in relation to biological and evolutionary models in order to develop a hypothetical methodology by which certain aspects of literature may be examined through an evolutionary lens. It is by no means an attempt at a finalizing or totalizing way of examining literature, but as such attempts have largely been ignored or assaulted, there is a rather large niche to fill. Hence this article will attempt to redefine literature as a ‘Third Level Darwin (...)
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  12. The leopard does not change its spots: naturalism and the argument against methodological pluralism in the sciences.Jonas Ahlskog & Giuseppina D'Oro - 2022 - In Adam Tuboli & Ákos Sivadó (eds.), The History of Understanding in Analytic Philosophy: Before and After Logical Empiricism. Bloomsbury. pp. 185-208.
    This paper sets out to undermine the view that a commitment to the early modern conception of the mind as immortalized in Ryle’s metaphor of the (Cartesian) ghost in the machine and in Quine’s metaphor of the (Lockean) myth of the museum is required to articulate a defence of the sui generis character of humanistic explanations. These powerful metaphors have not only contributed to undermining the claim for methodological pluralism by caricaturizing the arguments for disunity in the sciences; (...)
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  13. The “Cog in the Machine” Manifesto. [REVIEW]Robert E. Allinson - 1998 - Business Ethics Quarterly 8 (4):743-756.
    As a response to Diane Vaughan’s controversial work on the NASA Challenger Disaster, this article opposes the conclusion that NASA’s decision to launch the space shuttle was an inevitable outcome of techno-bureaucratic culture and risky technology. Instead, the argument developed in this article is that NASA did not prioritize safety, both in their selection of shuttle-parts and their decision to launch under sub-optimal weather conditions. This article further suggests that the “mistake” language employed by Vaughan and others is inappropriate insofar (...)
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  14. Neither Ghost Nor Machine.Jennifer Mensch - 2017 - Philosophy Today 61 (3):811-814.
    Kant’s longstanding interests in science have been well-documented. There are numerous studies devoted to Kant’s early work on cosmology in his Universal Natural History and Theory of the Heavens (1755), and of course also to his interests in physics and his work on forces (1747), axial rotation (1754), the ages of the earth (1754), fire (1755), earthquakes (1756), winds (1757), and even to his discussion of volcanoes on the moon (1785). It is well-known, moreover, that part of Kant’s work in (...)
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  15. A Ghost in the Shell or an Anatomically Constrained Phenomenon? Consciousness through the Spatiotemporal Body.Federico Zilio - 2022 - Phenomenology and Mind 22 (22):104.
    Intuitively, we can conceive of the existence of a conscious state as a pure activity that does not necessarily require a body (or even a brain). This idea has found new support in certain recent theories that present the possibility of a totally disconnected and disembodied consciousness. Against this hypothesis, I argue that human experience is intrinsically embodied and embedded, though in a specific way. Using Sartre’s phenomenology of the body, I first analyze the concept of consciousness as intentionality and (...)
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  16. THE CONTRADICTORY NATURE OF THE GHOST IN HAMLET.Ali Salami - 2011 - Sarjana 26 (1).
    This article explores the contradictory nature of the ghost in Hamlet and shows how Shakespeare seeks to manipulate the reader’s response in Hamlet by using contradictions and ambiguities. The article also explores the ways in which the reader responds to these contradictions and reconstructs a palpable world in the impalpable world of the text. These contradictions compel the reader to participate in the composition of the text and make him keep changing his own approach to the work with the (...)
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  17. Locating the 'inner'.Stephen Langfur - 2023 - Journal of Consciousness Studies 30 (1):191-214.
    The notion of a mental interior has been derided as a Cartesian relic, the 'ghost in the machine' (Ryle, 1963). Yet there is a mental interior — indeed, there are two — only not where we tend to look. When a toddler talks to herself before sleep, she often plays the part of a parent toward herself, mitigating the dread of separation. She thus creates a pretend space between herself-as-parent and herself-as-child. Growing up, she plays others toward herself (...)
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  18. Enter the Ghost / Exit the Ghost / Re-enter the Ghost: Derrida’s Reading of Hamlet in Specters of Marx.Karin De Boer - 2002 - Journal of the British Society for Phenomenology 33 (1):22-38.
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  19. Eden Inverted: On the Wild Self and the Contraction of Consciousness.Eugene Halton - 2007 - The Trumpeter 3 (23):45-77.
    The conditions of hunting and gathering through which one line of primates evolved into humans form the basis of what I term the wild self, a self marked by developmental needs of prolonged human neoteny and by deep attunement to the profusion of communicative signs of instinctive intelligence in which relatively “unmatured” hominids found themselves immersed. The passionate attunement to, and inquiry into, earth-drama, in tracking, hunting, foraging, rhythming, singing, and other arts/sciences, provided the trail to becoming human, and provide (...)
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  20. The ghosts in my mind.Silvere Gangloff - manuscript
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  21. Revaluing the behaviorist ghost in enactivism and embodied cognition.Nikolai Alksnis & Jack Alan Reynolds - 2019 - Synthese 198 (6):5785-5807.
    Despite its short historical moment in the sun, behaviorism has become something akin to a theoria non grata, a position that dare not be explicitly endorsed. The reasons for this are complex, of course, and they include sociological factors which we cannot consider here, but to put it briefly: many have doubted the ambition to establish law-like relationships between mental states and behavior that dispense with any sort of mentalistic or intentional idiom, judging that explanations of intelligent behavior require reference (...)
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  22. The social in the platform trap: Why a microscopic system focus limits the prospect of social machines.Markus Luczak-Roesch & Ramine Tinati - 2017 - Discover Society 40.
    “Filter bubble”, “echo chambers”, “information diet” – the metaphors to describe today’s information dynamics on social media platforms are fairly diverse. People use them to describe the impact of the viral spread of fake, biased or purposeless content online, as witnessed during the recent race for the US presidency or the latest outbreak of the Ebola virus (in the latter case a tasteless racist meme was drowning out any meaningful content). This unravels the potential envisioned to arise from emergent activities (...)
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  23. A Ghost Workers' Bill of Rights: How to Establish a Fair and Safe Gig Work Platform.Julian Friedland, David Balkin & Ramiro Montealegre - 2020 - California Management Review 62 (2).
    Many of us assume that all the free editing and sorting of online content we ordinarily rely on is carried out by AI algorithms — not human persons. Yet in fact, that is often not the case. This is because human workers remain cheaper, quicker, and more reliable than AI for performing myriad tasks where the right answer turns on ineffable contextual criteria too subtle for algorithms to yet decode. The output of this work is then used for machine (...)
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  24. 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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  25. The Use and Misuse of Counterfactuals in Ethical Machine Learning.Atoosa Kasirzadeh & Andrew Smart - 2021 - In ACM Conference on Fairness, Accountability, and Transparency (FAccT 21).
    The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. This paper argues for more caution with the use of counterfactuals when the facts to be considered are social categories such as race or gender. We review a broad body of papers from philosophy and social sciences on social ontology and the semantics of counterfactuals, and we conclude that the counterfactual approach in machine learning fairness and social (...)
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  26. Reconceptualizing the Organism: From Complex Machine to Flowing Stream.Daniel J. Nicholson - 2018 - In Daniel J. Nicholson & John Dupré (eds.), Everything Flows: Towards a Processual Philosophy of Biology. Oxford, United Kingdom: Oxford University Press.
    This chapter draws on insights from non-equilibrium thermodynamics to demonstrate the ontological inadequacy of the machine conception of the organism. The thermodynamic character of living systems underlies the importance of metabolism and calls for the adoption of a processual view, exemplified by the Heraclitean metaphor of the stream of life. This alternative conception is explored in its various historical formulations and the extent to which it captures the nature of living systems is examined. Following this, the chapter considers the (...)
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  27. The Explanatory Role of Machine Learning in Molecular Biology.Fridolin Gross - forthcoming - Erkenntnis:1-21.
    The philosophical debate around the impact of machine learning in science is often framed in terms of a choice between AI and classical methods as mutually exclusive alternatives involving difficult epistemological trade-offs. A common worry regarding machine learning methods specifically is that they lead to opaque models that make predictions but do not lead to explanation or understanding. Focusing on the field of molecular biology, I argue that in practice machine learning is often used with explanatory aims. (...)
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  28. Enkinaesthesia: the fundamental challenge for machine consciousness.Susan A. J. Stuart - 2011 - International Journal of Machine Consciousness 3 (1):145-162.
    In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent’s intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the perturbation, (...)
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  29. The Technologisation of the Social: A Political Anthropology of the Digital Machine.Paul O'Connor & Marius Ion Benta (eds.) - 2021 - London, UK: Routledge.
    In an era of digital revolution, artificial intelligence, big data and augmented reality, technology has shifted from being a tool of communication to a primary medium of experience and sociality. Some of the most basic human capacities are increasingly being outsourced to machines and we increasingly experience and interpret the world through digital interfaces, with machines becoming ever more ‘social’ beings. Social interaction and human perception are being reshaped in unprecedented ways. This book explores this technologisation of the social and (...)
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  30. Desired Machines: Cinema and the World in Its Own Image.Jimena Canales - 2011 - Science in Context 24 (3):329-359.
    ArgumentIn 1895 when the Lumière brothers unveiled their cinematographic camera, many scientists were elated. Scientists hoped that the machine would fulfill a desire that had driven research for nearly half a century: that of capturing the world in its own image. But their elation was surprisingly short-lived, and many researchers quickly distanced themselves from the new medium. The cinematographic camera was soon split into two machines, one for recording and one for projecting, enabling it to further escape from the (...)
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  31. The Boundaries of Meaning: A Case Study in Neural Machine Translation.Yuri Balashov - 2022 - Inquiry: An Interdisciplinary Journal of Philosophy 66.
    The success of deep learning in natural language processing raises intriguing questions about the nature of linguistic meaning and ways in which it can be processed by natural and artificial systems. One such question has to do with subword segmentation algorithms widely employed in language modeling, machine translation, and other tasks since 2016. These algorithms often cut words into semantically opaque pieces, such as ‘period’, ‘on’, ‘t’, and ‘ist’ in ‘period|on|t|ist’. The system then represents the resulting segments in a (...)
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  32. The use of scripture in the beast machine controversy.Lloyd Strickland - 2015 - In David Beck (ed.), Knowing Nature in Early Modern Europe. Brookfield, Vermont: Pickering & Chatto. pp. 65-82.
    The impression we are often given by historians of philosophy is that the readiness of medieval philosophers to appeal to authorities, such as The Bible, the Church, and Aristotle, was not shared by many early modern philosophers, for whom there was a marked preference to look for illumination via experience, the exercise of reason, or a combination of the two. Although this may be accurate, broadly speaking, it is notable that, in spite of the waning enthusiasm for deferring to traditional (...)
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  33. "The great mixing machine”: multisensory integration and brain-breath coupling in the cerebral cortex.Varga Somogy & Heck Detlef - 2022 - Pflügers Archiv - European Journal of Physiology 475:5-14.
    It is common to distinguish between “holist” and “reductionist” views of brain function, where the former envisions the brain as functioning as an indivisible unit and the latter as a collection of distinct units that serve different functions. Opposing reductionism, a number of researchers have pointed out that cortical network architecture does not respect functional boundaries, and the neuroanatomist V. Braitenberg proposed to understand the cerebral cortex as a “great mixing machine” of neuronal activity from sensory inputs, motor commands, (...)
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  34. rethinking machine ethics in the era of ubiquitous technology.Jeffrey White (ed.) - 2015 - Hershey, PA, USA: IGI.
    Table of Contents Foreword .................................................................................................... ......................................... xiv Preface .................................................................................................... .............................................. xv Acknowledgment .................................................................................................... .......................... xxiii Section 1 On the Cusp: Critical Appraisals of a Growing Dependency on Intelligent Machines Chapter 1 Algorithms versus Hive Minds and the Fate of Democracy ................................................................... 1 Rick Searle, IEET, USA Chapter 2 We Can Make Anything: Should We? .................................................................................................. 15 Chris Bateman, University of Bolton, UK Chapter 3 Grounding Machine Ethics within the Natural System ........................................................................ 30 Jared Gassen, JMG Advising, USA Nak Young Seong, Independent Scholar, (...)
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  35. Survival as a digital ghost.Eric Steinhart - 2007 - Minds and Machines 17 (3):261 – 271.
    You can survive after death in various kinds of artifacts. You can survive in diaries, photographs, sound recordings, and movies. But these artifacts record only superficial features of yourself. We are already close to the construction of programs that partially and approximately replicate entire human lives (by storing their memories and duplicating their personalities). A digital ghost is an artificially intelligent program that knows all about your life. It is an animated auto-biography. It replicates your patterns of belief and (...)
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  36. ‘The Action of the Brain’. Machine Models and Adaptive Functions in Turing and Ashby.Hajo Greif - 2017 - In Vincent C. Müller (ed.), Philosophy and theory of artificial intelligence 2017. Berlin: Springer. pp. 24-35.
    Given the personal acquaintance between Alan M. Turing and W. Ross Ashby and the partial proximity of their research fields, a comparative view of Turing’s and Ashby’s work on modelling “the action of the brain” (letter from Turing to Ashby, 1946) will help to shed light on the seemingly strict symbolic/embodied dichotomy: While it is clear that Turing was committed to formal, computational and Ashby to material, analogue methods of modelling, there is no straightforward mapping of these approaches onto symbol-based (...)
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  37. The Tyranny of Transparency: Auto-immunity in The Teaching Machine.Ingrid Maria Hoofd - 2016 - Teorie Vědy / Theory of Science 38 (1):87-112.
    This article proposes that the prime ideals of the university - those of truth, knowledge, justice, and emancipation - are also those that currently produce unjust practices "outside" and "within". Using the work of Jacques Derrida and Paul Virilio, the article argues that the central problem of the university today consists not so much of a neo-liberalisation, but of the speeding-up of these ideals through their enmeshment with techniques of calculation, vision, and prediction. The current university therefore suffers from what (...)
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  38. Sign machines in the framework of Semiotics Unbounded.Winfried Nöth - 2008 - Semiotica 2008 (169):319-341.
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  39. Busting the Ghost of Neutral Counterparts.Jen Foster - 2023 - Ergo: An Open Access Journal of Philosophy 10 (42):1187-1242.
    Slurs have been standardly assumed to bear a very direct, very distinctive semantic relationship to what philosophers have called “neutral counterpart” terms. I argue that this is mistaken: the general relationship between paradigmatic slurs and their “neutral counterparts” should be assumed to be the same one that obtains between ‘chick flick’ and ‘romantic comedy’, as well a huge number of other more prosaic pairs of derogatory and “less derogatory” expressions. The most plausible general relationship between these latter expressions — and (...)
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  40. Interdisciplinary Confusion and Resolution in the Context of Moral Machines.Jakob Stenseke - 2022 - Science and Engineering Ethics 28 (3):1-17.
    Recent advancements in artificial intelligence have fueled widespread academic discourse on the ethics of AI within and across a diverse set of disciplines. One notable subfield of AI ethics is machine ethics, which seeks to implement ethical considerations into AI systems. However, since different research efforts within machine ethics have discipline-specific concepts, practices, and goals, the resulting body of work is pestered with conflict and confusion as opposed to fruitful synergies. The aim of this paper is to explore (...)
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  41. 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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  42. Is the Cell Really a Machine?Daniel J. Nicholson - 2019 - Journal of Theoretical Biology 477:108–126.
    It has become customary to conceptualize the living cell as an intricate piece of machinery, different to a man-made machine only in terms of its superior complexity. This familiar understanding grounds the conviction that a cell's organization can be explained reductionistically, as well as the idea that its molecular pathways can be construed as deterministic circuits. The machine conception of the cell owes a great deal of its success to the methods traditionally used in molecular biology. However, the (...)
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  43. Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges.Joshua Hatherley & Robert Sparrow - 2023 - Journal of the American Medical Informatics Association 30 (2):361-366.
    Objectives: Machine learning (ML) has the potential to facilitate “continual learning” in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this article, we provide a tutorial on the range of ethical issues raised by the use of such “adaptive” ML systems in medicine that have, thus far, been neglected in the literature. -/- Target audience: The target audiences for this tutorial (...)
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  44. Machine Intentionality, the Moral Status of Machines, and the Composition Problem.David Leech Anderson - 2012 - In Vincent C. Müller (ed.), Philosophy & Theory of Artificial Intelligence. Springer. pp. 312-333.
    According to the most popular theories of intentionality, a family of theories we will refer to as “functional intentionality,” a machine can have genuine intentional states so long as it has functionally characterizable mental states that are causally hooked up to the world in the right way. This paper considers a detailed description of a robot that seems to meet the conditions of functional intentionality, but which falls victim to what I call “the composition problem.” One obvious way to (...)
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  45. Do the Laws of Physics Forbid the Operation of Time Machines?John Earman, Chris Smeenk & Christian Wüthrich - 2009 - Synthese 169 (1):91 - 124.
    We address the question of whether it is possible to operate a time machine by manipulating matter and energy so as to manufacture closed timelike curves. This question has received a great deal of attention in the physics literature, with attempts to prove no- go theorems based on classical general relativity and various hybrid theories serving as steps along the way towards quantum gravity. Despite the effort put into these no-go theorems, there is no widely accepted definition of a (...)
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  46. The Ghostly Illusion of Freewill.Brent Silby - 2012 - Cafe Philosophy 4 (Jan/Feb 2012).
    During my childhood I was fascinated by videogames. One game that stands out in my memory is Pacman. It wasn’t the gameplay that interested me so much as the behavior of the ghosts. As you watch them roam around the maze, you get the feeling that they are intelligent. They seem to be making decisions about how best to catch Pacman. But how free are their decisions? One of the interesting things I noticed was that I could play exactly the (...)
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  47. Is the secrecy of the parametric configuration of slot machines rationally justified? The exposure of the mathematical facts of games of chance as an ethical obligation.Catalin Barboianu - 2014 - Journal of Gambling Issues 29 (DOI: 10.4309/jgi.2014.29.6):1-23.
    Slot machines gained a high popularity despite a specific element that could limit their appeal: non-transparency with respect to mathematical parameters. The PAR sheets, exposing the parameters of the design of slot machines and probabilities associated with the winning combinations are kept secret by game producers, and the lack of data regarding the configuration of a machine prevents people from computing probabilities and other mathematical indicators. In this article, I argue that there is no rational justification for this secrecy (...)
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  48.  81
    Axe the X in XAI: A Plea for Understandable AI.Andrés Páez - forthcoming - In Juan Manuel Durán & Giorgia Pozzi (eds.), Philosophy of science for machine learning: Core issues and new perspectives. Springer.
    In a recent paper, Erasmus et al. (2021) defend the idea that the ambiguity of the term “explanation” in explainable AI (XAI) can be solved by adopting any of four different extant accounts of explanation in the philosophy of science: the Deductive Nomological, Inductive Statistical, Causal Mechanical, and New Mechanist models. In this chapter, I show that the authors’ claim that these accounts can be applied to deep neural networks as they would to any natural phenomenon is mistaken. I also (...)
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  49. Platonic Computer— the Universal Machine That Bridges the “Inverse Explanatory Gap” in the Philosophy of Mind.Simon X. Duan - 2022 - Filozofia i Nauka 10:285-302.
    The scope of Platonism is extended by introducing the concept of a “Platonic computer” which is incorporated in metacomputics. The theoretical framework of metacomputics postulates that a Platonic computer exists in the realm of Forms and is made by, of, with, and from metaconsciousness. Metaconsciousness is defined as the “power to conceive, to perceive, and to be self-aware” and is the formless, con-tentless infinite potentiality. Metacomputics models how metaconsciousness generates the perceived actualities including abstract entities and physical and nonphysical realities. (...)
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  50. Disoriented and alone in the “experience machine” - On Netflix, shared world deceptions and the consequences of deepening algorithmic personalization.Maria Brincker - 2021 - SATS 22 (1):75-96.
    Most online platforms are becoming increasingly algorithmically personalized. The question is if these practices are simply satisfying users preferences or if something is lost in this process. This article focuses on how to reconcile the personalization with the importance of being able to share cultural objects - including fiction – with others. In analyzing two concrete personalization examples from the streaming giant Netflix, several tendencies are observed. One is to isolate users and sometimes entirely eliminate shared world aspects. Another tendency (...)
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