Results for 'deepfakes'

82 found
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  1. Deepfakes and the Epistemic Backstop.Regina Rini - 2020 - Philosophers' Imprint 20 (24):1-16.
    Deepfake technology uses machine learning to fabricate video and audio recordings that represent people doing and saying things they've never done. In coming years, malicious actors will likely use this technology in attempts to manipulate public discourse. This paper prepares for that danger by explicating the unappreciated way in which recordings have so far provided an epistemic backstop to our testimonial practices. Our reasonable trust in the testimony of others depends, to a surprising extent, on the regulative effects of the (...)
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  2. Deepfakes: a survey and introduction to the topical collection.Dan Cavedon-Taylor - 2024 - Synthese 204 (1):1-19.
    Deepfakes are extremely realistic audio/video media. They are produced via a complex machine-learning process, one that centrally involves training an algorithm on hundreds or thousands of audio/video recordings of an object or person, S, with the aim of either creating entirely new audio/video media of S or else altering existing audio/video media of S. Deepfakes are widely predicted to have deleterious consequences (principally, moral and epistemic ones) for both individuals and various of our social practices and institutions. In (...)
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  3. Deepfake detection by human crowds, machines, and machine-informed crowds.Matthew Groh, Ziv Epstein, Chaz Firestone & Rosalind Picard - 2022 - Proceedings of the National Academy of Sciences 119 (1):e2110013119.
    The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask participants to identify which is which. We compare the performance of ordinary human observers with the leading computer vision deepfake detection model and find them similarly accurate, while making different kinds of mistakes. Together, participants with access to the model’s (...)
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  4.  95
    Deepfakes and depiction: from evidence to communication.Francesco Pierini - 2023 - Synthese 201 (3):1-21.
    In this paper, I present an analysis of the depictive properties of deepfakes. These are videos and pictures produced by deep learning algorithms that automatically modify existing videos and photographs or generate new ones. I argue that deepfakes have an intentional standard of correctness. That is, a deepfake depicts its subject only insofar as its creator intends it to. This is due to the way in which these images are produced, which involves a degree of intentional control similar (...)
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  5. Deepfakes, Pornography and Consent.Claire Benn - forthcoming - Philosophers' Imprint.
    Political deepfakes have prompted outcry about the diminishing trustworthiness of visual depictions, and the epistemic and political threat this poses. Yet this new technique is being used overwhelmingly to create pornography, raising the question of what, if anything, is wrong with the creation of deepfake pornography. Traditional objections focusing on the sexual abuse of those depicted fail to apply to deepfakes. Other objections—that the use and consumption of pornography harms the viewer or other (non-depicted) individuals—fail to explain the (...)
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  6. Deepfakes, Deep Harms.Regina Rini & Leah Cohen - 2022 - Journal of Ethics and Social Philosophy 22 (2).
    Deepfakes are algorithmically modified video and audio recordings that project one person’s appearance on to that of another, creating an apparent recording of an event that never took place. Many scholars and journalists have begun attending to the political risks of deepfake deception. Here we investigate other ways in which deepfakes have the potential to cause deeper harms than have been appreciated. First, we consider a form of objectification that occurs in deepfaked ‘frankenporn’ that digitally fuses the parts (...)
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  7. Deepfakes and Democracy: A Catch-22?Dan Cavedon-Taylor - forthcoming - Journal of the American Philosophical Association.
    Deepfakes are AI-generated media. When produced competently, they are near-indistinguishable from genuine recordings and may mislead viewers about the actions of the individuals they depict. For this reason, it is thought to be only a matter of time before deepfakes have deleterious consequences for democratic procedures, elections in particular. But this pessimistic view about deepfakes and their relation to democracy is flawed whether it means to pick out current deepfakes or future ones. Rather than advocating for (...)
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  8. Deepfakes, shallow epistemic graves: On the epistemic robustness of photography and videos in the era of deepfakes.Paloma Atencia-Linares & Marc Artiga - 2022 - Synthese 200 (6):1–22.
    The recent proliferation of deepfakes and other digitally produced deceptive representations has revived the debate on the epistemic robustness of photography and other mechanically produced images. Authors such as Rini (2020) and Fallis (2021) claim that the proliferation of deepfakes pose a serious threat to the reliability and the epistemic value of photographs and videos. In particular, Fallis adopts a Skyrmsian account of how signals carry information (Skyrms, 2010) to argue that the existence of deepfakes significantly reduces (...)
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  9.  81
    Deepfakes and Political Misinformation in U.S. Elections.Tom Sorell - 2023 - Techné Research in Philosophy and Technology 27 (3):363-386.
    Audio and video footage produced with the help of AI can show politicians doing discreditable things that they have not actually done. This is deepfaked material. Deepfakes are sometimes claimed to have special powers to harm the people depicted and their audiences—powers that more traditional forms of faked imagery and sound footage lack. According to some philosophers, deepfakes are particularly “believable,” and widely available technology will soon make deepfakes proliferate. I first give reasons why deepfake technology is (...)
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  10. Deepfakes, engaño y desconfianza.David Villena - 2023 - Filosofía En la Red.
  11. Deepfakes, Public Announcements, and Political Mobilization.Megan Hyska - forthcoming - In Tamar Szabó Gendler, John Hawthorne, Julianne Chung & Alex Worsnip (eds.), Oxford Studies in Epistemology, Vol. 8. Oxford University Press.
    This paper takes up the question of how videographic public announcements (VPAs)---i.e. videos that a wide swath of the public sees and knows that everyone else can see too--- have functioned to mobilize people politically, and how the presence of deepfakes in our information environment stands to change the dynamics of this mobilization. Existing work by Regina Rini, Don Fallis and others has focused on the ways that deepfakes might interrupt our acquisition of first-order knowledge through videos. But (...)
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  12. The Epistemic Threat of Deepfakes.Don Fallis - 2020 - Philosophy and Technology 34 (4):623-643.
    Deepfakes are realistic videos created using new machine learning techniques rather than traditional photographic means. They tend to depict people saying and doing things that they did not actually say or do. In the news media and the blogosphere, the worry has been raised that, as a result of deepfakes, we are heading toward an “infopocalypse” where we cannot tell what is real from what is not. Several philosophers have now issued similar warnings. In this paper, I offer (...)
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  13. Artificial intelligence, deepfakes and a future of ectypes.Luciano Floridi - 2018 - Philosophy and Technology 31 (3):317-321.
    AI, especially in the case of Deepfakes, has the capacity to undermine our confidence in the original, genuine, authentic nature of what we see and hear. And yet digital technologies, in the form of databases and other detection tools also make it easier to spot forgeries and to establish the authenticity of a work. Using the notion of ectypes, this paper discusses current conceptions of authenticity and reproduction and examines how, in the future, these might be adapted for use (...)
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  14. Deepfakes, Intellectual Cynics, and the Cultivation of Digital Sensibility.Taylor Matthews - 2022 - Royal Institute of Philosophy Supplement 92:67-85.
    In recent years, a number of philosophers have turned their attention to developments in Artificial Intelligence, and in particular to deepfakes. A deepfake is a portmanteau of ‘deep learning' and ‘fake', and for the most part they are videos which depict people doing and saying things they never did. As a result, much of the emerging literature on deepfakes has turned on questions of trust, harms, and information-sharing. In this paper, I add to the emerging concerns around (...) by drawing on resources from vice epistemology. As deepfakes become more sophisticated, I claim, they will develop to be a source of online epistemic corruption. More specifically, they will encourage consumers of digital online media to cultivate and manifest various epistemic vices. My immediate focus in this paper is on their propensity to encourage the development of what I call ‘intellectual cynicism'. After sketching a rough account of this epistemic vice, I go on to suggest that we can partially offset such cynicism – and fears around deceptive online media more generally – by encouraging the development what I term a trained ‘digital sensibility'. This, I contend, involves a calibrated sensitivity to the epistemic merits of online content. (shrink)
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  15. Deepfakes and the epistemic apocalypse.Joshua Habgood-Coote - 2023 - Synthese 201 (3):1-23.
    [Author note: There is a video explainer of this paper on youtube at the new work in philosophy channel (search for surname+deepfakes).] -/- It is widely thought that deepfake videos are a significant and unprecedented threat to our epistemic practices. In some writing about deepfakes, manipulated videos appear as the harbingers of an unprecedented _epistemic apocalypse_. In this paper I want to take a critical look at some of the more catastrophic predictions about deepfake videos. I will argue (...)
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  16.  12
    Los riesgos de los deepfakes para la democracia y las perspectivas de regulación.Efraín Fandiño López - 2024 - Resistances. Journal of the Philosophy of History 5 (10):e240167.
    Este artículo realiza un análisis del impacto de los deepfakes en el marco de los procesos democráticos, enfocándose en cómo estas sofisticadas manipulaciones digitales pueden erosionar la confianza pública, interferir en elecciones y generar polarización. Se estudia la progresión de las ultrafalsificaciones desde su creación hasta alcanzar un alto grado de sofisticación, destacando cómo los avances en tecnología de inteligencia artificial han potenciado su realismo y complicado su detección. Se hará alusión a varios casos en Francia y Colombia, con (...)
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  17.  97
    Deepfakes and trust in technology.Oliver Laas - 2023 - Synthese 202 (5):1-34.
    Deepfakes are fake recordings generated by machine learning algorithms. Various philosophical explanations have been proposed to account for their epistemic harmfulness. In this paper, I argue that deepfakes are epistemically harmful because they undermine trust in recording technology. As a result, we are no longer entitled to our default doxastic attitude of believing that P on the basis of a recording that supports the truth of P. Distrust engendered by deepfakes changes the epistemic status of recordings to (...)
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  18. Deepfakes, Fake Barns, and Knowledge from Videos.Taylor Matthews - 2023 - Synthese 201 (2):1-18.
    Recent develops in AI technology have led to increasingly sophisticated forms of video manipulation. One such form has been the advent of deepfakes. Deepfakes are AI-generated videos that typically depict people doing and saying things they never did. In this paper, I demonstrate that there is a close structural relationship between deepfakes and more traditional fake barn cases in epistemology. Specifically, I argue that deepfakes generate an analogous degree of epistemic risk to that which is found (...)
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  19. Deepfake Pornography and the Ethics of Non-Veridical Representations.Daniel Story & Ryan Jenkins - 2023 - Philosophy and Technology 36 (3):1-22.
    We investigate the question of whether (and if so why) creating or distributing deepfake pornography of someone without their consent is inherently objectionable. We argue that nonconsensually distributing deepfake pornography of a living person on the internet is inherently pro tanto wrong in virtue of the fact that nonconsensually distributing intentionally non-veridical representations about someone violates their right that their social identity not be tampered with, a right which is grounded in their interest in being able to exercise autonomy over (...)
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  20. Video on demand: what deepfakes do and how they harm.Keith Raymond Harris - 2021 - Synthese 199 (5-6):13373-13391.
    This paper defends two main theses related to emerging deepfake technology. First, fears that deepfakes will bring about epistemic catastrophe are overblown. Such concerns underappreciate that the evidential power of video derives not solely from its content, but also from its source. An audience may find even the most realistic video evidence unconvincing when it is delivered by a dubious source. At the same time, an audience may find even weak video evidence compelling so long as it is delivered (...)
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  21. Deepfakes and Dishonesty.Tobias Flattery & Christian B. Miller - 2024 - Philosophy and Technology 37 (120):1-24.
    Deepfakes raise various concerns: risks of political destabilization, depictions of persons without consent and causing them harms, erosion of trust in video and audio as reliable sources of evidence, and more. These concerns have been the focus of recent work in the philosophical literature on deepfakes. However, there has been almost no sustained philosophical analysis of deepfakes from the perspective of concerns about honesty and dishonesty. That deepfakes are potentially deceptive is unsurprising and has been noted. (...)
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  22.  43
    The ontological quandary of deepfakes.Adeniyi Fasoro - forthcoming - AI and Society:1-9.
    Deepfakes, as hyperrealistic digital fabrications, reveal gaps and uncertainties in existing ontological frameworks. Neither simply images nor realities, deepfakes occupy an ambiguous metaphysical position between concepts such as representation/simulation, human/machine, and real/artificial. Their emergent generation via AI and experiential traction as credible synthetic media underscores limitations in prevailing paradigms reliant on purified binaries and anthropocentric assumptions. Rather than anomalies, deepfakes epitomize the imperative for new ontological cartographies and conceptual vocabularies attuned to increasingly unbounded algorithmic creation. The paper (...)
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  23. Deepfake Technology and Individual Rights.Francesco Stellin Sturino - 2023 - Social Theory and Practice 49 (1):161-187.
    Deepfake technology can be used to produce videos of real individuals, saying and doing things that they never in fact said or did, that appear highly authentic. Having accepted the premise that Deepfake content can constitute a legitimate form of expression, it is not immediately clear where the rights of content producers and distributors end, and where the rights of individuals whose likenesses are used in this content begin. This paper explores the question of whether it can be plausibly argued (...)
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  24. The Distinct Wrong of Deepfakes.Adrienne de Ruiter - 2021 - Philosophy and Technology 34 (4):1311-1332.
    Deepfake technology presents significant ethical challenges. The ability to produce realistic looking and sounding video or audio files of people doing or saying things they did not do or say brings with it unprecedented opportunities for deception. The literature that addresses the ethical implications of deepfakes raises concerns about their potential use for blackmail, intimidation, and sabotage, ideological influencing, and incitement to violence as well as broader implications for trust and accountability. While this literature importantly identifies and signals the (...)
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  25.  55
    The identification game: deepfakes and the epistemic limits of identity.Carl Öhman - 2022 - Synthese 200 (4):1-19.
    The fast development of synthetic media, commonly known as deepfakes, has cast new light on an old problem, namely—to what extent do people have a moral claim to their likeness, including personally distinguishing features such as their voice or face? That people have at least some such claim seems uncontroversial. In fact, several jurisdictions already combat deepfakes by appealing to a “right to identity.” Yet, an individual’s disapproval of appearing in a piece of synthetic media is sensible only (...)
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  26. Beyond Porn and Discreditation: Epistemic Promises and Perils of Deepfake Technology in Digital Lifeworlds.Mathias Risse & Catherine Kerner - 2021 - Moral Philosophy and Politics 8 (1):81-108.
    Deepfakes are a new form of synthetic media that broke upon the world in 2017. Bringing photoshopping to video, deepfakes replace people in existing videos with someone else’s likeness. Currently most of their reach is limited to pornography, and they are also used to discredit people. However, deepfake technology has many epistemic promises and perils, which concern how we fare as knowers. Our goal is to help set an agenda around these matters, to make sure this technology can (...)
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  27.  40
    Deepfakes, Documentary and the Dead: “I Wasn’t Putting Words into His Mouth. I Was Just Trying to Make Them Come Alive.”.Kate Nash - 2022 - Journal of Media Ethics 37 (4):291-292.
    The moral questions raised by synthetic media are considered in the context of posthumous documentary biography. Two possibilities are explored: firstly, that synthesis of the voice in biographical documentary deceives in a distinctive way and secondly, that it is possible for synthetic media to harm the subject of posthumous documentary.
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  28. The Deepfake Universe Apocalypse?Nadisha-Marie Aliman & Leon Kester - manuscript
    Could 2024 be the year heralding what one could term the deepfake universe apocalypse scenario or could it be the year that a future history of science may e.g. interpret as the year of the first literally universe-sized algorithmic hype bubble? This commentary introduces the metaphor of "GPT-Universe" and the assumptions hidden beneath it.
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  29. Deepfakes, Simone Weil, and the concept of reading.Steven R. Kraaijeveld - forthcoming - AI and Society:1-3.
  30. Bending Deepfake Geometry?Nadisha-Marie Aliman - manuscript
    This autodidactic paper wraps up an earlier epistemic art project and compactly collates the main unfolded scientific and philosophical strategies for epistemic resiliency against epistemic doom in the deepfake era. Retrospectively speaking, the existence of a dense condensate within which explanatory blockchain (EB) based science, EB-based philosophy and EB-based art overlap acts as a pointer to untapped non-algorithmic epistemic resources that could (if ever activated) exhibit the natural tendency to compel the reach of algorithmic computations – noticeably at the "cost" (...)
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  31. Freedom of expression meets deepfakes.Alex Barber - 2023 - Synthese 202 (40):1-17.
    Would suppressing deepfakes violate freedom of expression norms? The question is pressing because the deepfake phenomenon in its more poisonous manifestations appears to call for a response, and automated targeting of some kind looks to be the most practically viable. Two simple answers are rejected: that deepfakes do not deserve protection under freedom of expression legislation because they are fake by definition; and that deepfakes can be targeted if but only if they are misleadingly presented as authentic. (...)
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  32. AI or Your Lying Eyes: Some Shortcomings of Artificially Intelligent Deepfake Detectors.Keith Raymond Harris - 2024 - Philosophy and Technology 37 (7):1-19.
    Deepfakes pose a multi-faceted threat to the acquisition of knowledge. It is widely hoped that technological solutions—in the form of artificially intelligent systems for detecting deepfakes—will help to address this threat. I argue that the prospects for purely technological solutions to the problem of deepfakes are dim. Especially given the evolving nature of the threat, technological solutions cannot be expected to prevent deception at the hands of deepfakes, or to preserve the authority of video footage. Moreover, (...)
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  33.  26
    Promising for patients or deeply disturbing? The ethical and legal aspects of deepfake therapy.Saar Hoek, Suzanne Metselaar, Corrette Ploem & Marieke Bak - forthcoming - Journal of Medical Ethics.
    Deepfakes are hyper-realistic but fabricated videos created with the use of artificial intelligence. In the context of psychotherapy, the first studies on using deepfake technology are emerging, with potential applications including grief counselling and treatment for sexual violence-related trauma. This paper explores these applications from the perspective of medical ethics and health law. First, we question whether deepfake therapy can truly constitute good care. Important risks are dangerous situations or ‘triggers’ to the patient during data collection for the creation (...)
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  34. Introducing the pervert’s dilemma: a contribution to the critique of Deepfake Pornography.Carl Öhman - 2020 - Ethics and Information Technology 22 (2):133-140.
    Recent technological innovation has made video doctoring increasingly accessible. This has given rise to Deepfake Pornography, an emerging phenomenon in which Deep Learning algorithms are used to superimpose a person’s face onto a pornographic video. Although to most people, Deepfake Pornography is intuitively unethical, it seems difficult to justify this intuition without simultaneously condemning other actions that we do not ordinarily find morally objectionable, such as sexual fantasies. In the present article, I refer to this contradiction as the pervert’s dilemma. (...)
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  35.  90
    Designed to abuse? Deepfakes and the non-consensual diffusion of intimate images.Cristina Voto & Marco Viola - 2023 - Synthese 201 (1):1-20.
    The illicit diffusion of intimate photographs or videos intended for private use is a troubling phenomenon known as the diffusion of Non-Consensual Intimate Images (NCII). Recently, it has been feared that the spread of deepfake technology, which allows users to fabricate fake intimate images or videos that are indistinguishable from genuine ones, may dramatically extend the scope of NCII. In the present essay, we counter this pessimistic view, arguing for qualified optimism instead. We hypothesize that the growing diffusion of (...) will end up disrupting the status that makes our visual experience of photographic images and videos epistemically and affectively special; and that once divested of this status, NCII will lose much of their allure in the eye of the perpetrators, probably resulting in diminished diffusion. We conclude by offering some caveats and drawing some implications to better understand, and ultimately better counter, this phenomenon. (shrink)
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  36. How to do things with deepfakes.Tom Roberts - 2023 - Synthese 201 (2):1-18.
    In this paper, I draw a distinction between two types of deepfake, and unpack the deceptive strategies that are made possible by the second. The first category, which has been the focus of existing literature on the topic, consists of those deepfakes that act as a fabricated record of events, talk, and action, where any utterances included in the footage are not addressed to the audience of the deepfake. For instance, a fake video of two politicians conversing with one (...)
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  37.  31
    The Spiral of Digital Falsehood in Deepfakes.Massimo Leone - 2023 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 36 (2):385-405.
    The article defines the research field of a semiotically oriented philosophy of digital communication. It lays out its methodological perspective, pointing out how the fake has always been at the center of semiotic research. It traces the origin of deepfakes back to the conception of GANs, whose essential semiotic workings it expounds on. It enucleates the specificities of the digital fake, especially in the production of artificial faces. It reviews the deepfake phenomenon, enunciating its most recent statistics, prevalent areas (...)
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  38.  18
    The potential effects of deepfakes on news media and entertainment.Ebba Lundberg & Peter Mozelius - forthcoming - AI and Society:1-12.
    Deepfakes are synthetic media, such as pictures, music and videos, created with generative artificial intelligence (GenAI) tools, a technique that builds upon machine learning and multi-layered neural networks trained on large datasets. Today, anyone can create deepfakes online, without any knowledge about the underpinning technology. This fact opens up creative opportunities at the same time as it creates individual and societal challenges. Some identified challenges are fake news, bullying, defamation, media manipulation and democracy damage. The aim of this (...)
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  39. Epistemic Doom In The Deepfake Era.Nadisha-Marie Aliman - manuscript
    This epistemic project examines an understudied existential risk emerging in the deepfake era: the fortunately up to this time (but not indefinitely so) reversible peril of humanity’s epistemic self-sabotage through an overestimation of algorithms linked to quantitative aspects and a paired underestimation of the own epistemic potential whose manifestations are in principle expressible via scientifically analyzable but currently often neglected qualitative facets. This scenario is metaphorically referred to as "π-Doom scenario". Instead of carefully crafting opaque hypotheses and formulating probabilistic predictions (...)
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  40.  61
    Michael Polányi’s fiduciary program against fake news and deepfake in the digital age.Zsolt Ziegler - 2021 - AI and Society:1-9.
    This paper argues that Michael Polányi’s account of how science, as an institution, establishes knowledge can provide a structure for a future institution capable of countering misinformation, or fake news, and deepfakes. I argue that only an institutional approach can adequately take up the challenge against the corresponding institution of fake news. The fact of filtering news and information may be bothering. It is the threat of censorship and free speech limitation. Instead, I propose that we should indicate reliable (...)
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  41. Conceptual and moral ambiguities of deepfakes: a decidedly old turn.Matthew Crippen - 2023 - Synthese 202 (1):1-18.
    Everyday (mis)uses of deepfakes define prevailing conceptualizations of what they are and the moral stakes in their deployment. But one complication in understanding deepfakes is that they are not photographic yet nonetheless manipulate lens-based recordings with the intent of mimicking photographs. The harmfulness of deepfakes, moreover, significantly depends on their potential to be mistaken for photographs and on the belief that photographs capture actual events, a tenet known as the transparency thesis, which scholars have somewhat ironically attacked (...)
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  42. The Ethics and Epistemology of Deepfakes.Taylor Matthews & Ian James Kidd - 2024 - In Carl Fox & Joe Saunders (eds.), Routledge Handbook of Philosophy and Media Ethics. Routledge.
  43.  72
    Ethical Problems of the Use of Deepfakes in the Arts and Culture.Rafael Cejudo - 2023 - In Francisco Lara & Jan Deckers (eds.), Ethics of Artificial Intelligence. Springer Nature Switzerland. pp. 129-148.
    Deepfakes are highly realistic, albeit fake, audiovisual contents created with AI. This technology allows the use of deceptive audiovisual material that can impersonate someone’s identity to erode their reputation or manipulate the audience. Deepfakes are also one of the applications of AI that can be used in cultural industries and even to produce works of art. On the one hand, it is important to clarify whether deepfakes in arts and culture are free from the ethical dangers mentioned (...)
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  44.  5
    Looks real, feels fake: conflict detection in deepfake videos.Eva M. Janssen, Yarno F. Mutis & Tamara van Gog - forthcoming - Thinking and Reasoning.
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  45. Emerging Faces: The Figure-Ground Relation from Renaissance Painting to Deepfakes.Maria Giulia Dondero - 2024 - In Massimo Leone (ed.), The hybrid face: paradoxes of the visage in the digital era. New York, NY: Routledge/Taylor & Francis Group.
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  46. Skepticism and the Digital Information Environment.Matthew Carlson - 2021 - SATS 22 (2):149-167.
    Deepfakes are audio, video, or still-image digital artifacts created by the use of artificial intelligence technology, as opposed to traditional means of recording. Because deepfakes can look and sound much like genuine digital recordings, they have entered the popular imagination as sources of serious epistemic problems for us, as we attempt to navigate the increasingly treacherous digital information environment of the internet. In this paper, I attempt to clarify what epistemic problems deepfakes pose and why they pose (...)
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  47.  7
    Deep Fake Out.Mihailis E. Diamantis, Sean Sullivan & Eli Alshanetsky - manuscript
    Deepfakes are visual and audio media that use artificial intelligence to portray people saying things they never said, doing things they never did, and experiencing events that never happened. They can be trivial (“Tom Cruise knows magic tricks?”), outlandish (“Why is Nancy Pelosi drunk on national television?”), or even dangerous (“Run, the Hollywood sign is burning!”). Because deepfakes can be both persuasive and pervasive, many commentators fear that humanity will soon take another step into the post-truth abyss. -/- (...)
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  48. The semiotic functioning of synthetic media.Auli Viidalepp - 2022 - Információs Társadalom 4:109-118.
    The interpretation of many texts in the everyday world is concerned with their truth value in relation to the reality around us. The recent publication experiments with computer-generated texts have shown that the distinction between true and false, or reality and fiction, is not always clear from the text itself. Essentially, in today’s media space, one may encounter texts, videos or images that deceive the reader by displaying nonsensical content or nonexistent events, while nevertheless appearing as genuine human-produced messages. This (...)
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  49. Synthetic Media Detection, the Wheel, and the Burden of Proof.Keith Raymond Harris - 2024 - Philosophy and Technology 37 (4):1-20.
    Deepfakes and other forms of synthetic media are widely regarded as serious threats to our knowledge of the world. Various technological responses to these threats have been proposed. The reactive approach proposes to use artificial intelligence to identify synthetic media. The proactive approach proposes to use blockchain and related technologies to create immutable records of verified media content. I argue that both approaches, but especially the reactive approach, are vulnerable to a problem analogous to the ancient problem of the (...)
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  50. The Supercomplexity Puzzle.Nadisha-Marie Aliman - manuscript
    In the deepfake era, materialism and idealism seem to clash at multiple epistemic levels with new additional facets unfolding – an epistemic friction which could act as creativity-stimulating impetus for science and philosophy. Could the information-related concept of supercomplexity be instrumental in better clarifying understudied aspects of the apparent dichotomy? Instead of directly answering this question, this short autodidactic paper compactly analyzes a small but potentially relevant puzzle piece to complexity research taking the form of an explanatory bridge from complexity (...)
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