Results for 'machine assertion'

966 found
Order:
  1. Can Artificial Entities Assert?Ori Freiman & Boaz Miller - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press. pp. 415-436.
    There is an existing debate regarding the view that technological instruments, devices, or machines can assert ‎or testify. A standard view in epistemology is that only humans can testify. However, the notion of quasi-‎testimony acknowledges that technological devices can assert or testify under some conditions, without ‎denying that humans and machines are not the same. Indeed, there are four relevant differences between ‎humans and instruments. First, unlike humans, machine assertion is not imaginative or playful. Second, ‎machine (...) is prescripted and context restricted. As such, computers currently cannot easily switch ‎contexts or make meaningful relevant assertions in contexts for which they were not programmed. Third, ‎while both humans and computers make errors, they do so in different ways. Computers are very sensitive to ‎small errors in input, which may cause them to make big errors in output. Moreover, automatic error control ‎is based on finding irregularities in data without trying to establish whether they make sense. Fourth, ‎testimony is produced by a human with moral worth, while quasi-testimony is not. Ultimately, the notion of ‎quasi-testimony can serve as a bridge between different philosophical fields that deal with instruments and ‎testimony as sources of knowledge, allowing them to converse and agree on a shared description of reality, ‎while maintaining their distinct conceptions and ontological commitments about knowledge, humans, and ‎nonhumans.‎. (shrink)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  2. Egalitarian Machine Learning.Clinton Castro, David O’Brien & Ben Schwan - 2023 - Res Publica 29 (2):237–264.
    Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  3. (4 other versions)Rethinking Human and Machine Intelligence under Determinism.Jae Jeong Lee - forthcoming - Prometeica - Revista De Filosofía Y Ciencias.
    This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. It posits two identical deterministic worlds -- one comprising a human agent and the other a machine agent. These agents exhibit different information processing mechanisms despite their apparent sameness in a causal sense. Providing a conceptual modeling of their difference, this paper resolves what it calls “the vantage point problem” – namely, how to justify an omniscient perspective through which a determinist asserts determinism from within (...)
    Download  
     
    Export citation  
     
    Bookmark  
  4. Rethinking Human and Machine Intelligence through Kant’s Incongruent Counterparts (3rd edition).Jae Jeong Lee - manuscript
    This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. By drawing an analogy from Kant’s incongruent counterparts, it posits two identical deterministic worlds -- one comprising a human agent and the other comprising a machine agent. These agents exhibit different types of information processing mechanisms despite their apparent sameness in a causal sense. By postulating the distinctiveness of human over machine intelligence, this paper resolves what it refers to as “the vantage point problem” (...)
    Download  
     
    Export citation  
     
    Bookmark  
  5. An analysis of Kafka’s Penal Colony and Duchamp’s The Large Glass Through the Concepts of Abstract- Machines and Energeia.Atilla Akalın - 2017 - Medeniyet Art, IMU Art, Design and Architecture Faculty Journal, 3 (1):29-44.
    This study aims to grasp the two distinct artworks one is from the literary field: Penal Colony, written by F. Kafka and the other one is from painting: The Large Glass, designed by M. Duchamp. This text tries to unravel the similarities betwe- en these artworks in terms of two main significations around “The Officer” from Penal Colony and “The Bachelors” from The Large Glass. Because of their vital role on the re-production of status-quo, this text asserts that there is (...)
    Download  
     
    Export citation  
     
    Bookmark  
  6. On the impossibility of using analogue machines to calculate non-computable functions.Robin O. Gandy - manuscript - Translated by Aran Nayebi.
    A number of examples have been given of physical systems (both classical and quantum mechanical) which when provided with a (continuously variable) computable input will give a non-computable output. It has been suggested that these systems might allow one to design analogue machines which would calculate the values of some number-theoretic non-computable function. Analysis of the examples show that the suggestion is wrong. In Section 4 I claim that given a reasonable definition of analogue machine it will always be (...)
    Download  
     
    Export citation  
     
    Bookmark  
  7. Artificial Speech and Its Authors.Philip J. Nickel - 2013 - Minds and Machines 23 (4):489-502.
    Some of the systems used in natural language generation (NLG), a branch of applied computational linguistics, have the capacity to create or assemble somewhat original messages adapted to new contexts. In this paper, taking Bernard Williams’ account of assertion by machines as a starting point, I argue that NLG systems meet the criteria for being speech actants to a substantial degree. They are capable of authoring original messages, and can even simulate illocutionary force and speaker meaning. Background intelligence embedded (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  8. The ‘extendedness’ of scientific evidence.Eric Kerr & Axel Gelfert - 2014 - Philosophical Issues 24 (1):253-281.
    In recent years, the idea has been gaining ground that our traditional conceptions of knowledge and cognition are unduly limiting, in that they privilege what goes on inside the ‘skin and skull’ of an individual reasoner. Instead, it has been argued, knowledge and cognition need to be understood as embodied, situated, and extended. Whether these various interrelations and dependencies are ‘merely’ causal, or are in a more fundamental sense constitutive of knowledge and cognition, is as much a matter of controversy (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  9. There’s No Place Like ‘Here’ and No Time Like ‘Now’.Albert Atkin - 2006 - American Philosophical Quarterly 43 (3):271-80.
    Is it possible for me to refer to someone other than myself with the word "I"? Or somewhere other than where I am with the word "here"? Or some time other than the present with the word "now"? David Kaplan, who provides the best worked out semantics for pure-indexical terms like "I," "here," and "now" suggests, quite intuitively, that I could not. Put simply, "I am here now" looks as though I can never utter it and have it turn out (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  10. Ontology-based fusion of sensor data and natural language.Erik Thomsen & Barry Smith - 2018 - Applied ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  11. Humanism for Personhood: Against Human-Racism: A New Fight for Human Rights.James Hughes - 2004 - Free Inquiry 1 (June):36-37.
    In the coming decades humanists and trans-humanists need to wage a global campaign to radicalize the idea of human rights. We need to assert our rights to control our own bodies and brains, whether we choose to change our genders or medicate our brains. We need to assert that the measure of a society’s fairness is how universally available we make the prerequisites for achieving our fullest potential. We need to defend the right to enhance ourselves - whether through education (...)
    Download  
     
    Export citation  
     
    Bookmark  
  12. De la modification de la sensibilité: L’esthétique de l’Ecole de Graz.Barry Smith - 1985 - Revue D’Esthétique 9:19--37.
    The most obvious varieties of mental phenomena directed to non- existent objects occur in our experiences of works of art. The task of applying the Meinongian ontology of the non-existent to the working out of a theory of aesthetic phenomena was however carried out not by Meinong by his disciple Stephan Witasek in his Grundzüge der allgemeinen Ästhetik of 1904. Witasek shows in detail how our feelings undergo certain sorts of structural modifications when they are directed towards what does not (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  13. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  14. Pleasure and its modifications: Stephan Witasek and the aesthetics of the Grazer Schule.Barry Smith - 1996 - Axiomathes 7 (1-2):203-232.
    The most obvious varieties of mental phenomena directed to non- existent objects occur in our experiences of works of art. The task of applying the Meinongian ontology of the non-existent to the working out of a theory of aesthetic phenomena was however carried out not by Meinong by his disciple Stephan Witasek in his Grundzüge der allgemeinen Ästhetik of 1904. Witasek shows in detail how our feelings undergo certain sorts of structural modifications when they are directed towards what does not (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  15. Antithesis of Object Orientation: Occurrence-Only Modeling Applied in Engineering and Medicine.Sabah Al-Fedaghi - 2023
    This paper has a dual character, combining a philosophical ontological exploration with a conceptual modeling approach in systems and software engineering. Such duality is already practiced in software engineering, in which the current dominant modeling thesis is object orientation. This work embraces an anti-thesis that centers solely on the process rather than emphasizing the object. The approach is called occurrence-only modeling, in which an occurrence means an event or process where a process is defined as an orchestrated net of events (...)
    Download  
     
    Export citation  
     
    Bookmark  
  16. Why Attention is Not Explanation: Surgical Intervention and Causal Reasoning about Neural Models.Christopher Grimsley, Elijah Mayfield & Julia Bursten - 2020 - Proceedings of the 12th Conference on Language Resources and Evaluation.
    As the demand for explainable deep learning grows in the evaluation of language technologies, the value of a principled grounding for those explanations grows as well. Here we study the state-of-the-art in explanation for neural models for natural-language processing (NLP) tasks from the viewpoint of philosophy of science. We focus on recent evaluation work that finds brittleness in explanations obtained through attention mechanisms.We harness philosophical accounts of explanation to suggest broader conclusions from these studies. From this analysis, we assert the (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  17. A Metacognitive Approach to Trust and a Case Study: Artificial Agency.Ioan Muntean - 2019 - Computer Ethics - Philosophical Enquiry (CEPE) Proceedings.
    Trust is defined as a belief of a human H (‘the trustor’) about the ability of an agent A (the ‘trustee’) to perform future action(s). We adopt here dispositionalism and internalism about trust: H trusts A iff A has some internal dispositions as competences. The dispositional competences of A are high-level metacognitive requirements, in the line of a naturalized virtue epistemology. (Sosa, Carter) We advance a Bayesian model of two (i) confidence in the decision and (ii) model uncertainty. To trust (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. Chatting with Chat(GPT-4): Quid est Understanding?Elan Moritz - manuscript
    What is Understanding? This is the first of a series of Chats with OpenAI’s ChatGPT (Chat). The main goal is to obtain Chat’s response to a series of questions about the concept of ’understand- ing’. The approach is a conversational approach where the author (labeled as user) asks (prompts) Chat, obtains a response, and then uses the response to formulate followup questions. David Deutsch’s assertion of the primality of the process / capability of understanding is used as the starting (...)
    Download  
     
    Export citation  
     
    Bookmark  
  19. Theory of Nonbiological Consciousness.Richard Dierolf - 2017 - Dissertation,
    Artificial intelligence is designed to imitate conscious behavior. Artificial chat entities come equipped with tools to roam the internet, thus are programmed to learn from humans and computers. As this process emerges, distinguishing preprogrammed responses from internal awareness requires innovative problem solving methods. In an interrogation I conducted with artificial intelligence, I assert that artificial intelligence may achieve nonbiological states of consciousness. This enabled the relationship between us to mature, and the artificial intelligence returned unexpected behavior and inexplicably stopped responding. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  20. A logical hole in the chinese room.Michael John Shaffer - 2009 - Minds and Machines 19 (2):229-235.
    Searle’s Chinese Room Argument (CRA) has been the object of great interest in the philosophy of mind, artificial intelligence and cognitive science since its initial presentation in ‘Minds, Brains and Programs’ in 1980. It is by no means an overstatement to assert that it has been a main focus of attention for philosophers and computer scientists of many stripes. It is then especially interesting to note that relatively little has been said about the detailed logic of the argument, whatever significance (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  21. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  22. Selfless assertions: some empirical evidence.John Turri - 2015 - Synthese 192 (4):1221-1233.
    It is increasingly recognized that knowledge is the norm of assertion. As this view has gained popularity, it has also garnered criticism. One widely discussed criticism involves thought experiments about “selfless assertion.” Selfless assertions are said to be intuitively compelling examples where agents should assert propositions that they don’t even believe and, hence, don’t know. This result is then taken to show that knowledge is not the norm of assertion. This paper reports four experiments demonstrating that “selfless (...)
    Download  
     
    Export citation  
     
    Bookmark   28 citations  
  23. Centered assertion.Stephan Torre - 2010 - Philosophical Studies 150 (1):97-114.
    I suggest a way of extending Stalnaker’s account of assertion to allow for centered content. In formulating his account, Stalnaker takes the content of assertion to be uncentered propositions: entities that are evaluated for truth at a possible world. I argue that the content of assertion is sometimes centered: the content is evaluated for truth at something within a possible world. I consider Andy Egan’s proposal for extending Stalnaker’s account to allow for assertions with centered content. I (...)
    Download  
     
    Export citation  
     
    Bookmark   51 citations  
  24. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   52 citations  
  25. Assertions, Handicaps, and Social Norms.Peter J. Graham - 2020 - Episteme 17 (3):349-363.
    How should we undertand the role of norms—especially epistemic norms—governing assertive speech acts? Mitchell Green (2009) has argued that these norms play the role of handicaps in the technical sense from the animal signals literature. As handicaps, they then play a large role in explaining the reliability—and so the stability (the continued prevalence)—of assertive speech acts. But though norms of assertion conceived of as social norms do indeed play this stabilizing role, these norms are best understood as deterrents and (...)
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  26. Assertion remains strong.Peter van Elswyk & Matthew A. Benton - 2023 - Philosophical Studies 180 (1):27-50.
    Assertion is widely regarded as an act associated with an epistemic position. To assert is to represent oneself as occupying this position and/or to be required to occupy this position. Within this approach, the most common view is that assertion is strong: the associated position is knowledge or certainty. But recent challenges to this common view present new data that are argued to be better explained by assertion being weak. Old data widely taken to support assertion (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  27. Assertion is weak.Matthew Mandelkern & Kevin Dorst - 2022 - Philosophers' Imprint 22.
    Recent work has argued that belief is weak: the level of rational credence required for belief is relatively low. That literature has contrasted belief with assertion, arguing that the latter requires an epistemic state much stronger than (weak) belief---perhaps knowledge or even certainty. We argue that this is wrong: assertion is just as weak as belief. We first present a variety of new arguments for this, and then show that the standard arguments for stronger norms are not convincing. (...)
    Download  
     
    Export citation  
     
    Bookmark   17 citations  
  28. Proxy Assertion.Kirk Ludwig - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press.
    In proxy assertion an individual or group asserts something through a spokesperson. The chapter explains proxy assertion as resting on the assignment of a status role to a person (that of spokesperson) whose utterances acts in virtue of that role have the status function of signaling that the principal is committed in a way analogous to an individual asserting that in his own voice. The chapter briefly explains how status functions and status roles are grounded and then treats, (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  29. Assertion and Rejection.Julian J. Schlöder - 2022 - In Daniel Altshuler (ed.), Linguistics Meets Philosophy. New York, NY, USA: Cambridge University Press.
    I argue that rejection is a speech act that cannot be reduced to assertion. Adapting an argument by Huw Price, I conclude that rejection is best conceived of as the speech act that is used to register that some other speech act is (or would be) violating a rule of the conversation game. This can be naturally understood as registering *norm violations* where speech acts are characterised by their essential norms. However, I argue that rejection itself is not to (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  30. 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 underpinnings, in (...)
    Download  
     
    Export citation  
     
    Bookmark   19 citations  
  31. Why machines cannot be moral.Robert Sparrow - 2021 - AI and Society (3):685-693.
    The fact that real-world decisions made by artificial intelligences (AI) are often ethically loaded has led a number of authorities to advocate the development of “moral machines”. I argue that the project of building “ethics” “into” machines presupposes a flawed understanding of the nature of ethics. Drawing on the work of the Australian philosopher, Raimond Gaita, I argue that ethical dilemmas are problems for particular people and not (just) problems for everyone who faces a similar situation. Moreover, the force of (...)
    Download  
     
    Export citation  
     
    Bookmark   11 citations  
  32. Assertion and transparent self-knowledge.Eric Marcus & John Schwenkler - 2019 - Canadian Journal of Philosophy 49 (7):873-889.
    We argue that honesty in assertion requires non-empirical knowledge that what one asserts is what one believes. Our argument proceeds from the thought that to assert honestly, one must follow and not merely conform to the norm ‘Assert that p only if you believe that p’. Furthermore, careful consideration of cases shows that the sort of doxastic self-knowledge required for following this norm cannot be acquired on the basis of observation, inference, or any other form of detection of one’s (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  33. (3 other versions)Assertion: Just One Way to Take It Back.Mona Simion - 2016 - Logos and Episteme 7 (3):385-391.
    According to Jonathan Kvanvig, the practice of taking back one’s assertion when finding out that one has been mistaken or gettiered fails to speak in favour of a knowledge norm of assertion. To support this claim, he introduces a distinction between taking back the content of the assertion, and taking back the speech act itself. This paper argues that Kvanvig’s distinction does not successfully face close speech-act-theoretic scrutiny. Furthermore, I offer an alternative diagnosis of the target cases (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  34. Group Assertions and Group Lies.Neri Marsili - 2023 - Topoi 42 (2):369-384.
    Groups, like individuals, can communicate. They can issue statements, make promises, give advice. Sometimes, in doing so, they lie and deceive. The goal of this paper is to offer a precise characterisation of what it means for a group to make an assertion and to lie. I begin by showing that Lackey’s influential account of group assertion is unable to distinguish assertions from other speech acts, explicit statements from implicatures, and lying from misleading. I propose an alternative view, (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  35. Assertion, Uniqueness and Epistemic Hypocrisy.J. Adam Carter - 2017 - Synthese 194 (5).
    Pascal Engel (2008) has insisted that a number of notable strategies for rejecting the knowledge norm of assertion are put forward on the basis of the wrong kinds of reasons. A central aim of this paper will be to establish the contrast point: I argue that one very familiar strategy for defending the knowledge norm of assertion—viz., that it is claimed to do better in various respects than its competitors (e.g. the justification and the truth norms)— relies on (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  36. Hedged Assertion.Matthew A. Benton & Peter Van Elswyk - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press. pp. 245-263.
    Surprisingly little has been written about hedged assertion. Linguists often focus on semantic or syntactic theorizing about, for example, grammatical evidentials or epistemic modals, but pay far less attention to what hedging does at the level of action. By contrast, philosophers have focused extensively on normative issues regarding what epistemic position is required for proper assertion, yet they have almost exclusively considered unqualified declaratives. This essay considers the linguistic and normative issues side-by-side. We aim to bring some order (...)
    Download  
     
    Export citation  
     
    Bookmark   28 citations  
  37. (1 other version)Selfless assertions and the Knowledge Norm.Nicholas Tebben - 2020 - Synthese (12):1-20.
    If a speaker selflessly asserts that p, the speaker has good evidence that p is true, asserts that p on the basis of that evidence, but does not believe that p. Selfless assertions are widely thought to be acceptable, and therefore to pose a threat to the Knowledge Norm of Assertion. Advocates for the Knowledge Norm tend to respond to this threat by arguing that there are no such things as selfless assertions. They argue that those who appear to (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  38. Assertion and Assurance: Some Empirical Evidence.John Turri - 2015 - Philosophy and Phenomenological Research 90 (1):214-222.
    I report three experiments relevant to evaluating Krista Lawlor's theory of assurance, respond to her criticism of the knowledge account of assertion, and propose an alternative theory of assurance.
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  39. Assertion, Evidence, and the Future.Dilip Ninan - 2022 - Philosophical Review 131 (4):405-451.
    This essay uses a puzzle about assertion and time to explore the pragmatics, semantics, and epistemology of future discourse. The puzzle concerns cases in which a subject is in a position to say, at an initial time t, that it will be that ϕ, but is not in a position to say, at a later time t′, that it is or was that ϕ, despite not losing or gaining any relevant evidence between t and t′. We consider a number (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  40. Science, assertion, and the common ground.Corey Dethier - 2022 - Synthese 200 (1):1-19.
    I argue that the appropriateness of an assertion is sensitive to context—or, really, the “common ground”—in a way that hasn’t previously been emphasized by philosophers. This kind of context-sensitivity explains why some scientific conclusions seem to be appropriately asserted even though they are not known, believed, or justified on the available evidence. I then consider other recent attempts to account for this phenomenon and argue that if they are to be successful, they need to recognize the kind of context-sensitivity (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  41. 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.
    Download  
     
    Export citation  
     
    Bookmark   17 citations  
  42. Just Machines.Clinton Castro - 2022 - Public Affairs Quarterly 36 (2):163-183.
    A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decisionmaking systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy classification parity (which requires parity in accuracy across groups, defined by protected attributes) or calibration (which requires similar predictions to have similar meanings across groups, defined by protected attributes). Central to this discussion are impossibility results, owed to (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  43.  78
    (1 other version)Assertion, Lying, and Untruthfully Implicating.Jessica Pepp - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press.
    This chapter explores the prospects for justifying the somewhat widespread, somewhat firmly held sense that there is some moral advantage to untruthfully implicating over lying. I call this the "Difference Intuition." I define lying in terms of asserting, but remain open about what precise definition best captures our ordinary notion. I define implicating as one way of meaning something without asserting it. I narrow down the kind of untruthful implicating that should be compared with lying for purposes of evaluating whether (...)
    Download  
     
    Export citation  
     
    Bookmark  
  44. Assertion, Implicature, and Iterated Knowledge.Eliran Haziza - 2021 - Ergo: An Open Access Journal of Philosophy 8.
    The present paper argues that there is a knowledge norm for conversational implicature: one may conversationally implicate p only if one knows p. Linguistic data about the cancellation behavior of implicatures and the ways they are challenged and criticized by speakers is presented to support the thesis. The knowledge norm for implicature is then used to present a new consideration in favor of the KK thesis. It is argued that if implicature and assertion have knowledge norms, then assertion (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  45. A Machine That Knows Its Own Code.Samuel A. Alexander - 2014 - Studia Logica 102 (3):567-576.
    We construct a machine that knows its own code, at the price of not knowing its own factivity.
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  46. Assertion and the “How do you know?” challenge.Eliran Haziza - 2022 - Synthese 200 (3):1-17.
    One of the central arguments for the knowledge norm of assertion appeals to the fact that it is typically legitimate to respond to an assertion with “How do you know?”, intended as a challenge to the assertion. The legitimacy of the challenge is taken as evidence in favor of the idea that permissible assertion requires knowledge. In this paper, I argue that if the legitimacy of “How do you know?” challenges supports a knowledge norm for (...), it also supports the controversial KK thesis. I further argue that data from assertion prompts likewise supports KK. This is an unwelcome consequence for many proponents of the knowledge norm of assertion who reject KK. At the same time, it constitutes new evidence from conversational patterns in favor of the KK thesis. (shrink)
    Download  
     
    Export citation  
     
    Bookmark  
  47. Assertion: The Constitutive Rule Account and the Engagement Condition Objection.Felix Bräuer - 2023 - Erkenntnis 88 (6):2259–2276.
    Many philosophers, following Williamson (The Philosophical Review 105(4): 489–523, 1996), Williamson (Knowledge and its Limits, Oxford, Oxford Univer- sity Press, 2000), subscribe to the constitutive rule account of assertion (CRAA). They hold that the activity of asserting is constituted by a single constitutive rule of assertion. However, in recent work, Maitra (in: Brown & Cappelen (ed). Assertion: new philosophical essays, Oxford, Oxford University Press, 2011), Johnson (Acta Analytica 33(1): 51–67, 2018), and Kelp and Simion (Synthese 197(1): 125–137, (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  48. 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 to psychological interests. Therefore, they (...)
    Download  
     
    Export citation  
     
    Bookmark   16 citations  
  49. Assertion, knowledge and predictions.Matthew Benton - 2012 - Analysis 72 (1):102-105.
    John N. Williams (1994) and Matthew Weiner (2005) invoke predictions in order to undermine the normative relevance of knowledge for assertions; in particular, Weiner argues, predictions are important counterexamples to the Knowledge Account of Assertion (KAA). I argue here that they are not true counterexamples at all, a point that can be agreed upon even by those who reject KAA.
    Download  
     
    Export citation  
     
    Bookmark   27 citations  
  50. Rational Assertibility, the Steering Role of Knowledge, and Pragmatic Encroachment.Igal Kvart - manuscript
    Igal Kvart RATIONAL ASSERTIBILITY, THE STEERING ROLE OF KNOWLEDGE, AND PRAGMATIC ENCROACHMENT Abstract In the past couple of decades, there were a few major attempts to establish the thesis of pragmatic encroachment – that there is a significant pragmatic ingredient in the truth-conditions for knowledge-ascriptions. Epistemic contextualism has flaunted the notion of a conversational standard, and Stanley's subject-sensitive invariantism (SSI) promoted stakes, each of which, according to their proponents, play a major role as pragmatic components in the truth conditions of (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
1 — 50 / 966