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 that Deepfake content involving the likenesses of real individuals violates the rights of these individuals. (shrink)

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 ever-present possibility of recordings of the events they testify about. As deepfakes erode the epistemic value of recordings, we may then face an even more consequential challenge to the reliability of our testimonial practices themselves. (shrink)

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 this introduction (...) to the Topical Collection, I first survey existing philosophical research on deepfakes (Sects. 2 and 3). I then give an overview of the papers that comprise the Collection (Sect. 4). Finally, I conclude with remarks on a line of argument made in a number of papers in the Topical Collection: that deepfakes may cause their own demise (Sect. 5). (shrink)

[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 (...) for three claims: (1) that once we recognise the role of social norms in the epistemology of recordings, deepfakes are much less concerning, (2) that the history of photographic manipulation reveals some important precedents, correcting claims about the novelty of deepfakes, and (3) that proposed solutions to deepfakes have been overly focused on technological interventions. My overall goal is not so much to argue that deepfakes are not a problem, but to argue that behind concerns around deepfakes lie a more general class of social problems about the organisation of our epistemic practices. (shrink)

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 the information that (...) images carry about the world, which undermines their reliability as a source of evidence. In this paper, we focus on Fallis’ version of the challenge, but our results can be generalized to address similar pessimistic views such as Rini’s. More generally, we offer an account of the epistemic robustness of photography and videos that allows us to understand these systems of representation as continuous with other means of information transmission we find in nature. This account will then give us the necessary tools to put Fallis’ claims into perspective: using a richer approach to animal signaling based on the signaling model of communication (Maynard-Smith and Harper, 2003), we will claim that, while it might be true that deepfake technology increases the probability of obtaining false positives, the dimension of the epistemic threat involved might still be negligible. (shrink)

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 of (...) different women to create pliable characters incapable of giving consent to their depiction. Next, we develop the idea of ‘illocutionary wronging’, in which an individual is forced to engage in speech acts they would prefer to avoid in order to deny or correct the misleading evidence of a publicized deepfake. Finally, we consider the risk that deepfakes may facilitate campaigns of ‘panoptic gaslighting’, where many systematically altered recordings of a single person's life undermine their memory, eroding their sense of self and ability to engage with others. Taken together, these harms illustrate the roles that social epistemology and technological vulnerabilities play in human ethical life. (shrink)

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 in traditional cases. (...) Given that barn cases have posed a long-standing challenge for virtue-theoretic accounts of knowledge, I consider whether a similar challenge extends to deepfakes. In doing so, I consider how Duncan Pritchard’s recent anti-risk virtue epistemology meets the challenge. While Pritchard’s account avoids problems in traditional barn cases, I claim that it leads to local scepticism about knowledge from online videos in the case of deepfakes. I end by considering how two alternative virtue-theoretic approaches might vindicate our epistemic dependence on videos in an increasingly digital world. (shrink)

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. But under what conditions (...) does the use of deepfakes fail to be honest? And which human agents, involved in one way or another in a deepfake, fail to be honest, and in what ways? If we are to understand better the morality of deepfakes, these questions need answering. Our first goal in this paper, therefore, is to offer an analysis of paradigmatic cases of deepfakes in light of the philosophy of honesty. While it is clear that many deepfakes are morally problematic, there has been a rising counter-chorus claiming that deepfakes are not essentially morally bad, since there might be uses of deepfakes that are not morally wrong, or even that are morally salutary, for instance, in education, entertainment, activism, and other areas. However, while there are reasons to think that deepfakes can supply or support moral goods, it is nevertheless possible that even these uses of deepfakes are dishonest. Our second goal in this paper, therefore, is to apply our analysis of deepfakes and honesty to the sorts of deepfakes hoped to be morally good or at least neutral. We conclude that, perhaps surprisingly, in many of these cases the use of deepfakes will be dishonest in some respects. Of course, there will be cases of deepfakes for which verdicts about honesty and moral permissibility do not line up. While we will sometimes suggest reasons why moral permissibility verdicts might diverge from honesty verdicts, we will not aim to settle matters of moral permissibility. (shrink)

In January 2024, non-consensual deepfakes came to public attention with the spread of AI generated sexually abusive images of Taylor Swift. Although this brought new found energy to the debate on what some call non-consensual synthetic intimate images (i.e. images that use technology such as AI or photoshop to make sexual images of a person without their consent), female celebrities like Swift have had deepfakes like these made of them for years. In 2017, a Reddit user named “deepfakes” posted (...) several videos in which he had used opensource machine learning tools to swap the faces of female celebrities on to the faces of female porn actors, displaying what appeared to be live video footage of the celebrity engaging in sex acts she never engaged in. Since that time, deepfake technology has advanced astronomically. What once were choppy sexualized videos are now nearly flawless videos that can be difficult to distinguish from a real video. According to recent research on deepfakes by Sensity AI, this technology has been used primarily on women to create sexual videos. These women’s sexual autonomy has been co-opted for the purposed of gratifying men’s sexual pleasure, but have also been used in campaigns to delegitimize and humiliate female journalists and politicians. In Canada, civil and criminal legislation has addressed the non-consensual distribution of intimate images, but in only a few provinces – British Columbia, New Brunswick, Prince Edward Island and Saskatchewan – does this offence include altered images that could include deepfakes. This paper explores the evolution of synthetic technology such as AI image generators and Canada’s legal responses to the non-consensual sharing of intimate images. (shrink)

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 in (...) the digital sphere. (shrink)

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, the success of such (...) technologies depends on institutional trust that is in short supply. Finally, outsourcing the discrimination between the real and the fake to automated, largely opaque systems runs the risk of undermining epistemic autonomy. (shrink)

This article is devoted to the topical aspects of the transformation of society, science, and man in the context of E. László’s work «Macroshift». The author offers his own attempt to consider the attributes of macroshift and then use these attributes to operationalize further analysis, highlighting three essential elements: the world has come to a situation of technological indistinguishability between the natural and the artificial, to machines that know everything about humans. Antiquity aspired to beauty and saw beauty in realistic (...) art, but technology made indistinguishability possible, bringing the risks of deepfakes and post-truth. Following J. Bernal’s logic, the author distinguishes between different types of the future, comparing them with the Kantian triad of ethical questions: (1) What can we know? (2) What should we do? (3) What can I hope for? Under these conditions, the fact that technology has become a real tool of geopolitics is no longer just a matter for discussion, but a subject of deep philosophical consideration. AI is becoming not only an opportunity, but also a threat, on a scale that has never been seen before in our civilizational history. Therefore, the former, linear development of science gives way to nonlinearity. Society in the macroshift will be radically transformed, and the author identifies five main transformations of the current macroshift. The post-nonclassical approach in the analysis of scenarios for modeling the future, both accidentally possible and preferred, is becoming the most important tool of futurology and prognostics. The author describes the future around five social trends that will determine the economy and society of the coming decades. In addition, opportunities for the future development of science are proposed, subject to significant penetration of AI technologies. These technologies will have a fundamental impact on all aspects of our society, economy, and human existence. (shrink)

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 these problems, (...) by drawing parallels between recordings and our own senses as sources of evidence. I show that deepfakes threaten to undermine the status of digital recordings as evidence. The existence of deepfakes thus encourages a kind of skepticism about digital recordings that bears important similarities to classic philosophical skepticism concerning the senses. However, the skepticism concerning digital recordings that deepfakes motivate is also importantly different from classical skepticism concerning the senses, and I argue that these differences illuminate some possible strategies for solving the epistemic problems posed by deepfakes. (shrink)

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 criterion—a (...) line of argument with skeptical implications. I argue that, while the proactive approach is relatively resistant to this objection, it faces its own serious challenges. In short, the proactive approach would place a heavy burden on users to verify their own content, a burden that is exacerbated by and is likely to exacerbate existing inequalities. (shrink)

The generation of novel refined scientific conceptions of intelligence, creativity and consciousness is of paramount importance at a time where many scientists deem the technological singularity and the achievement of self-improving superintelligent algorithms to be immanent while numerous other scientists characterize present-day algorithms as the mere implementation of superficial mimicry incapable of yielding outcomes such as superintelligence. The precarious epistemic state of affairs reflected in this discrepancy became increasingly palpable in the unfolding deepfake era even though informed safety- and (...) security-relevant actions need requisite variety in the near-term. Divergently, historically speaking, from the perspective of cosmology, science is described to already have successfully navigated from the geocentric model to the acentric model of the universe representing the currently best known explanation for the structure of the expanding cosmos. In analogy, this autodidactic paper expounds the scientific need for a broader contextualization of the current epistemic situation and explicates why acentric civilization-level epistemic relativity and invariance considerations can enable a more rigorous scientific evaluation of algorithmic superintelligence achievement claims – constraining the latter scientifically. (shrink)

Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of synthetic audiovisual (...) media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more traditional approaches to media synthesis. After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that “deepfakes” and related synthetic media produced with such pipelines do not merely offer incremental improvements over previous methods, but challenge traditional taxonomical distinctions, and pave the way for genuinely novel kinds of audiovisual media. (shrink)

In the story of Moses and Pharaoh, the magicians who were there became the first believers in Moses because they believed in the miraculous power of Moses, which was from Allah. In fact, those sticks (sticks of magicians) did not turn into snakes, but were seen by others as snakes. When Moses dropped his stick and turned into a snake, the sorcerers realized that the stick had become a real snake, and that is why they believed Moses. Today, this magic (...) is known as “Project Blue Beam” and “Deepfake” etc. These are real examples of the same sticks that were thrown by magicians. These technologies are not real, and you see them with your eyes the way you think they are real. In this paper, we will examine the miracles of Imam Mahdi. (shrink)

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 objection (...) that a depicted person might have to the creation of deepfake pornography that utilises images of them. My argument offers such an explanation. It begins by noting that the creation of sexual images requires an act of consent, separate from any consent needed for the acts depicted. Once we have separated these out, we can see that a demand for consent can arise when a sexual image is of us, even when no sexual activity was actually engaged in, as in the case of deepfake pornography. I then demonstrate that there are two ways in which an image can be ‘of us’, both of which can exist in the case of deepfakes. Thus, I argue: if a person, their likeness, or their photograph is used to create pornography, their consent is required. Whenever the person depicted does not consent (or in the case of children, can’t consent), that person is wronged by the creation of deepfake pornography and has a claim against its production. (shrink)

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.

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 (...) prediction are more accurate than either alone, but inaccurate model predictions often decrease participants’ accuracy. To probe the relative strengths and weaknesses of humans and machines as detectors of deepfakes, we examine human and machine performance across video-level features, and we evaluate the impact of preregistered randomized interventions on deepfake detection. We find that manipulations designed to disrupt visual processing of faces hinder human participants’ performance while mostly not affecting the model’s performance, suggesting a role for specialized cognitive capacities in explaining human deepfake detection performance. -/- . (shrink)

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 I point (...) out that even where every audience member takes a video to be veridical, where first-order knowledge acquisition is secure, an audience aware of deepfakes in their environment will not acquire higher order knowledge in the way that has erstwhile been characteristic for audiences of VPAs. Engaging with ideas from the literatures on public announcement logic, common knowledge, and convention, I enumerate a variety of ways in which we should expect this absence of higher order knowledge to throw up barriers to political mobilization. I go on to apply my analysis of VPAs to the mechanisms by which an uptick in publicly available videos of police brutality over the last decade, mediated by camera phones and social media, was responsible for the largest mass protests in US history in summer 2020. This makes vivid the stakes of the transformation in our mobilizing environment that I've claimed deepfakes effect: where we lose the common-knowledge-generating effects of VPAs, there are fresh obstacles to this sort of mass mobilization. (shrink)

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 deepfakes 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)

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" of increasing non-algorithmic self-determination. (shrink)

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. To make (...) progress, following a discussion of why freedom of expression deserves protection in a democracy, the question is reframed. At issue is not whether the arrival of deepfakes brings new and potentially serious dangers (it does), nor whether these dangers call for measures that potentially limit freedom of expression (they do), but whether the need for such measures raises any new and unfamiliar freedom-of-expression challenges. The answer to that question, surprisingly, is no. The balancing act needed to cope with the arrival of deepfakes brings plenty of difficulties, certainly, but none of the measures likely to be effective in tackling deepfake harms raises freedom-of-expression concerns that aren’t familiar from consideration of non-deepfake harms. In that respect, at least, the arrival of deepfakes makes no difference. (shrink)

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 of timelines that could easily evade scrutiny and/or could even themselves be initially generated by algorithms, scientifically and responsibly counteracting π-Doom requires new better riskier explanatory theories of intelligence, creativity and consciousness. A brief non-comprehensive literature review suggests that quite a few scientific instantiations (all of which have not yet been provisionally refuted) of that transformative requirement are already available at present. In short, π-Doom – the voluntarily or unintentionally effectuated cognitive resignation engendering an irrational algorithmically-motored process of running around in (epistemic) circles that could endanger the immediate future of a vulnerable civilization like present-day humanity – is wholly contingent on a choice of focus. (shrink)

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 another. The second category consists of those deepfakes that direct an illocutionary speech act - such as a request, injunction, invitation, or promise - to an addressee who is located outside of the recording. For instance, fake footage of a company director instructing their employee to make a payment, or of a military official urging the populace to flee for safety. Whereas the former category may deceive an audience by giving rise to false beliefs, the latter can more directly manipulate an agent's actions: the speech act's addressee may be moved to accept an invitation or a summons, follow a command, or heed a warning, and in doing so further a deceiver's unethical ends. (shrink)

"... Dr. Ihde brings an enlightening and deeply humanistic perspective to major technological developments, both past and present." —Science Books & Films "Don Ihde is a pleasure to read.... The material is full of nice suggestions and details, empirical materials, fun variations which engage the reader in the work... the overall points almost sneak up on you, they are so gently and gradually offered." —John Compton "A sophisticated celebration of cultural diversity and of its enabling technologies.... perhaps the best single (...) volume relating the philosophical tradition to the broad issues raised by contemporary technologies." —Choice "... important and challenging... " —Review of Metaphysics "... a range of rich historical, cultural, philosophical, and psychological insights, woven together in an intriguing and clear exposition... The book is really a pleasure to read, for its style, immense learning and sanity." —Teaching Philosophy The role of tools and instruments in our relation to the earth and the ways in which technologies are culturally embedded provide the foci of this thought-provoking book. (shrink)

My aim in this paper is to give a philosophical analysis of the relationship between contingently available technology and the knowledge that it makes possible. My concern is with what specific subjects can know in practice, given their particular conditions, especially available technology, rather than what can be known “in principle” by a hypothetical entity like Laplace’s Demon. The argument has two parts. In the first, I’ll construct a novel account of epistemic possibility that incorporates two pragmatic conditions: (...) responsibility and practicability. For example, whether subjects can gain knowledge depends in some circumstances on whether they have the capability of gathering relevant evidence. In turn, the possibility of undertaking such investigative activities depends in part on factors like ethical constraints, economical realities, and available technology. In the second part of the paper, I’ll introduce “technological possibility” to analyze the set of actions made possible by available technology. To help motivate the problem and later test my proposal, I’ll focus on a specific historical case, one of the earliest uses of digital electronic computers in a scientific investigation. I conclude that the epistemic possibility of gaining access to scientific knowledge about certain subjects depends (in some cases) on the technological possibility for making responsible investigations. (shrink)

New technologies are the source of uncertainties about the applicability of moral and morally connotated concepts. These uncertainties sometimes call for conceptual engineering, but it is not often recognized when this is the case. We take this to be a missed opportunity, as a recognition that different researchers are working on the same kind of project can help solve methodological questions that one is likely to encounter. In this paper, we present three case studies where philosophers of technology implicitly (...) engage in conceptual engineering (without naming it as such). We subsequently reflect on the case studies to find out how these illustrate conceptual engineering as an appropriate method to deal with pressing concerns in the philosophy of technology. We have two main goals. We first want to contribute to the literature on conceptual engineering by presenting concrete examples of conceptual engineering in the philosophy of technology. This is especially relevant, because the technologies that are designed based on the conceptual work done by philosophers of technology potentially have crucial moral and social implications. Secondly, we want to make explicit what choices are made when doing this conceptual work. Making explicit that some of the implicit assumptions are, in fact, debated in the literature allows for reflection on these questions. Ultimately, our hope is that conscious reflection leads to an improvement of the conceptual work done. (shrink)

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 by citing digital (...) imaging techniques as counterexamples. Combining these positions, this paper sets out two core points: (1) that conceptions about the nature of photography introduce imperatives about its uses; and (2) that popular cultural understandings of photography imply normative ideas that infuse our encounters with deepfakes. Within this, I further raise the question of what moral ground deepfakes occupy that allows them to have such a potentially devastating effect. I show that answering this question involves reinstating the notion that photographs are popularly conceived of as transparent. The rejoinder to this argument, however, is that to take the sting out of deepfakes we must, once again, become skeptical of the veracity of all images, including photoreal ones. This kind of critical mindedness was warranted before the invention of photography for both pictorial imprints and written accounts from various media sources. Given this, along with the fact that photographic trickery is nothing new, deepfakes need not push us into a post-truth epistemic abyss, for they imply a decidedly old turn. (shrink)

This paper proposes a specific approach to understanding the nature of technology that encompasses the entire field of technological praxis, from the making of primitive tools to using the Internet. In that approach, technology is a specific form of human agency that yields to (an imperfect) realization of human control over a technological situation—that is, a situation not governed to an end by natural constraints but by specific human aims. The components of such technological situations are a given (...) collection of natural or artificial beings, humans, human aims, and situation-bound tools. By performing technological situation analysis, the essential form of tool making, the complex system of relationships between science and technology, technological practices with and without machines, the finiteness or imperfectness of any technology, and engineering (i.e., the possibility of the creation of technological situations) can be considered. For a better characterization of the approach to technology, the paper also presents a comparison of other philosophies of technology. Following Feenberg’s comparative analysis, the so-called fundamental question of the philosophy of technology is formulated, its two sides are identified, and it is applied for clarification of our position within philosophy of technology. In our approach, all human praxis can be considered to be technological; more precisely, every human activity has a technological aspect or dimension. (shrink)

In this article, we reflect on the conditions under which new technologies emerge in the Anthropocene and raise the question of how to conceptualize sustainable technologies therein. To this end, we explore an eco-centric approach to technology development, called biomimicry. We discuss opposing views on biomimetic technologies, ranging from a still anthropocentric orientation focusing on human management and control of Earth’s life-support systems, to a real eco-centric concept of nature, found in the responsive conativity of nature. This concept provides (...) the ontological and the epistemological condition for an eco-centric concept of biomimetic technologies in the Anthropocene. We distinguish five principles for this concept that can guide future technological developments. (shrink)

According to the Value-Neutrality Thesis, technology is morally and politically neutral, neither good nor bad. A knife may be put to bad use to murder an innocent person or to good use to peel an apple for a starving person, but the knife itself is a mere instrument, not a proper subject for moral or political evaluation. While contemporary philosophers of technology widely reject the VNT, it remains unclear whether claims about values in technology are just a (...) figure of speech or nontrivial empirical claims with genuine factual content and real-world implications. This paper provides the missing argument. I argue that by virtue of their material properties, technological artifacts are part of the normative order rather than external to it. I illustrate how values can be empirically identified in technology. The reason why value-talk is not trivial or metaphorical is that due to the endurance and longevity of technological artifacts, values embedded in them have long-term implications that surpass their designers and builders. I further argue that taking sides in this debate has real-world implications in the form of moral constraints on the development of technology. (shrink)

Brexit has been described as “probably the most disastrous single event in British history since the second world war.” (Wolf, 2016). This paper discusses three themes to emerge from Brexit (notions of democracy and populism, and the manipulation of digital technologies), and lessons that may be drawn from these for the rest of the Union, and the EU project more broadly.

In this essay, I will examine how technological progress affects the responsibilities of human agents. To this end, I will distinguish between two interpretations of the concept of responsibility, viz. responsibility as attributability and substantive responsibility. On the former interpretation, responsibility has to do with the idea of authorship. When we say that a person is responsible for her actions we mean that she is to be seen as the author of these actions. They can be attributed to her, such (...) that she can be normatively appraised – i.e. blamed, praised, etc. – on that basis. In discussing this kind of responsibility I will show that the responsibility of human agents tends to increase as their technologies progress. This claim is often taken for granted, but seldom clarified and argued for. I will give it a clear interpretation and provide a semi-formal reasoning that supports it. The second interpretation of responsibility that I will discuss is substantive responsibility. It has to do with the normative demands that confront us with what we are required to do. I will argue that technological change can affect, firstly, what our substantive responsibilities are on a case-by-case basis. Secondly, I will try to show that it can affect the way we think about our substantive responsibilities at the level of theoretical normative ethics. (shrink)

The ethical neutrality of technology has been widely questioned, for example, in the case of the creation and continued existence of weapons. At stake is whether technology changes the ethical character of our experience: compare the experience of seeing a beating to videotaping it. Interpreting and elaborating on the work of George Grant and Marshall McLuhan, this paper consists of three arguments: 1) the existence of technologies determines the structures of civilization that are imposed on the world, 2) (...) technologies shape what we do and determine how we do it, and 3) technology, unlike any other kind of thing, seems not to make moral demands of us: it is morally neutral. This means that they offer us the freedom of imposing on something that does not impose back. The introduction of this experience of freedom changes the way we experience the world in general by introducing a new way of relating to the good, namely by introducing the act of subjective valuation. Each of these points implies that technology structurally changes or interferes with our ethical relationship with things, with the result that through subjective valuation the experience of the obligation to act can be suspended. (shrink)

One of the most obvious features that characterises any technology is its in-betweeness—comprising technologies that stand in-between human users and natural affordances (natural objects, processes, or phenomena). This paper analyses technologies on the basis of their first- second- or third-order nature, and discusses how Information Communication Technologies (ICTs) are creating a new externality.

Smart Farming Technologies raise ethical issues associated with the increased corporatization and industrialization of the agricultural sector. We explore the concept of biomimicry to conceptualize smart farming technologies as ecological innovations which are embedded in and in accordance with the natural environment. Such a biomimetic approach of smart farming technologies takes advantage of its potential to mitigate climate change, while at the same time avoiding the ethical issues related to the industrialization of the agricultural sector. We explore six principles of (...) a natural concept of biomimicry and apply these principles in the context of smart farming technologies. (shrink)

We are transformed not only through our relations with each other, but also through our relations with technologies. Rather than a Sartrean (1992) or Merleau-Pontian (2002) approach to using the concept of the gaze in order to refer to an objectifying or inhumanizing effect on the human subject from something or someone other than the human themself, I use the term to describe how our use of technology transforms our perception of the world, adding an "inhuman" element to our (...) own gaze. This shift moves the focus from an externally directed inhuman gaze to looking within the subject—intrasubjectively—at the transformation that occurs through our experiences with, and the potentialities of, technologies. In this chapter, I draw upon concepts from contemporary fields of inquiry that subscribe to an interrelational ontology; specifically, critical posthumanism and postphenomenology. I leverage the concept of an embodied and pragmatic technological relation in order to better understand the enabling and constraining effects of this transformation. I argue that these technologies continue to mediate our perception of the world even when we are not using them. The term technological gaze identifies this concept, allowing us to become more aware of the effects of technologies that often go unnoticed. By increasing our awareness, we have an increased chance at regaining some of our agency and potentially making better-informed decisions concerning what and how we invite technologies into our lives. (shrink)

This paper explores the usefulness of the 'ethical matrix', proposed by Ben Mepham, as a tool in technology assessment, specifically in food ethics. We consider what the matrix is, how it might be useful as a tool in ethical decision-making, and what drawbacks might be associated with it. We suggest that it is helpful for fact-finding in ethical debates relating to food ethics; but that it is much less helpful in terms of weighing the different ethical problems that it (...) uncovers. Despite this drawback, we maintain that, with some modifications, the ethical matrix can be a useful tool in debates in food ethics. We argue that useful modifications might be to include future generations amongst the stakeholders in the matrix, and to substitute the principle of solidarity for the principle of justice. (shrink)

In the contemporary era of urban design, the advent of big data and digital technologies has ushered in innovative approaches to exploring urban spaces. This study focuses on the application of Augmented Reality (AR) and Extended Reality (XR) technologies in the metropolitan areas of Houston and Amsterdam. These technologies create immersive 'Phygital Installations' that blend physical and digital elements, effectively capturing people's perceptions and enhancing urban design proposals. By fostering human-centered planning, AR and XR technologies make urban design more interactive (...) and accessible to the public. Houston, with its rapid industrial growth and diverse socio-economic landscape, provides a unique setting to examine the impacts of these technologies on urban form and socio-environmental dynamics. In contrast, Amsterdam, with its rich historical layers and socio-cultural diversity, offers insights into the integration of AR/XR technologies in urban planning, particularly in the realm of historical preservation and contemporary urban development. This research contributes to the emerging field of AR/XR in urban design by highlighting the transformative potential of these technologies in enhancing the understanding and engagement in urban design and spatial planning. (shrink)

Technology transfer is the movement of technical and organizational skills, knowledge, and methods from one individual or organization to another for economic purposes. This process usually involves a group that possesses specialized technical skills and technology that transfers it to a target group of receptors who do not possess those skills, and who cannot create that technology themselves.

Mark David Webster ABSTRACT: Using qualitative methods, the author sought to better understand how philosophical assumptions about technology affect the thinking, and influence the decision making, of educational technology leaders in their professional practice. One of the research questions focused on examining whether assumptions of technological determinism were present in thinking and influenced the decisions that leaders make. The core category that emerged from data analysis, Keep up with technology (or be left behind), was interpreted to be (...) a manifestation of the technological imperative, an assumption associated with the philosophical perspective of technological determinism. The article presents a literature review and critique of philosophical issues surrounding technological determinism. Data analysis led to the conclusion that technology leaders working in K-12 education place weighted priority on the technological imperative, and there is philosophical tension between Keep up with technology (or be left behind), and a concurrently held perspective based on the logic of the instrumental view of technology. The findings suggest that different accounts of technological determinism, including Bimber’s three accounts of normative, nomological, and unintended consequences, are significant in the thinking of participants. School technology leaders placed priority on embracing technological change, sometimes adopting technology for its own sake. (shrink)

Technological unemployment is a situation when people are without work and seeking work because of innovative production processes and labor-saving organizational solutions.

That technologies may raise ethical issues is now widely recognised. The ‘responsible innovation’ literature – as well as, to a lesser extent, the applied ethics and bioethics literature – has responded to the need for ethical reflection on technologies by developing a number of tools and approaches to facilitate such reflection. Some of these instruments consist of lists of questions that people are encouraged to ask about technologies – a methodology known as the ‘Socratic approach’. However, to date, these instruments (...) have often not adequately acknowledged various political impacts of technologies, which are, I suggest, essential to a proper account of the ethical issues they raise. New technologies can make some people richer and some people poorer, empower some and disempower others, have dramatic implications for relationships between different social groups and impact on social understandings and experiences that are central to the lives, and narratives, of denizens of technological societies. The distinctive contribution of this paper, then, is to offer a revised and updated version of the Socratic approach that highlights the political, as well as the more traditionally ethical, issues raised by the development of new technologies. (shrink)

Since 2016, when the Facebook/Cambridge Analytica scandal began to emerge, public concern has grown around the threat of “online manipulation”. While these worries are familiar to privacy researchers, this paper aims to make them more salient to policymakers — first, by defining “online manipulation”, thus enabling identification of manipulative practices; and second, by drawing attention to the specific harms online manipulation threatens. We argue that online manipulation is the use of information technology to covertly influence another person’s decision-making, by (...) targeting and exploiting their decision-making vulnerabilities. Engaging in such practices can harm individuals by diminishing their economic interests, but its deeper, more insidious harm is its challenge to individual autonomy. We explore this autonomy harm, emphasising its implications for both individuals and society, and we briefly outline some strategies for combating online manipulation and strengthening autonomy in an increasingly digital world. (shrink)

In connecting embodied, embedded, extended, and enactive (4E) cognition with affectivity and emotions, the framework of “situated affectivity” has recently emerged. This framework emphasizes the interactions between the emoter and the environment in the unfolding of our affective lives (Colombetti and Krueger 2015; Griffiths and Scarantino 2009; Piredda 2022; Stephan and Walter 2020). In the last decades, there has also been a growing interest in the philosophical analysis of technology and artifacts (Houkes and Vermaas 2010; Margolis and Laurence 2007; (...) Preston 2022). The aim of this special issue is to foster the interaction between philosophical reflections on affectivity and those on technology, further developing this fruitful borderland (Clowes et al. 2021; Colombetti 2020; Fasoli 2018; Krueger and Osler 2019; Heersmink 2018; Piredda and Candiotto 2019; Piredda 2020; Viola 2021). -/- . (shrink)