In a landmark essay, Andreas Matthias claimed that current developments in autonomous, artificially intelligent (AI) systems are creating a so-called responsibility gap, which is allegedly ever-widening and stands to undermine both the moral and legal frameworks of our society. But how severe is the threat posed by emerging technologies? In fact, a great number of authors have indicated that the fear is thoroughly instilled. The most pessimistic are calling for a drastic scaling-back or complete moratorium on AI systems, while the (...) optimists aim to show that the gap can be bridged nonetheless. Contrary to both camps, I argue against the prevailing assumption that there is a technology-based responsibility gap. I show how moral responsibility is a dynamic and flexible process, one that can effectively encompass emerging technological entities. (shrink)

Recent decades have witnessed tremendous progress in artificial intelligence and in the development of autonomous systems that rely on artificial intelligence. Critics, however, have pointed to the difficulty of allocating responsibility for the actions of an autonomous system, especially when the autonomous system causes harm or damage. The highly autonomous behavior of such systems, for which neither the programmer, the manufacturer, nor the operator seems to be responsible, has been suspected to generate responsibility gaps. This has been the cause of (...) much concern. In this article, I propose a more optimistic view on artificial intelligence, raising two challenges for responsibility gap pessimists. First, proponents of responsibility gaps must say more about when responsibility gaps occur. Once we accept a difficult-to-reject plausibility constraint on the emergence of such gaps, it becomes apparent that the situations in which responsibility gaps occur are unclear. Second, assuming that responsibility gaps occur, more must be said about why we should be concerned about such gaps in the first place. I proceed by defusing what I take to be the two most important concerns about responsibility gaps, one relating to the consequences of responsibility gaps and the other relating to violations of jus in bello. (shrink)

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...) image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

We argue that students have moral reasons to refrain from using chatbots such as ChatGPT to write certain papers. We begin by showing why many putative reasons to refrain from using chatbots fail to generate compelling arguments against their use in the construction of these papers. Many of these reasons rest on implausible principles, hollowed out conceptions of education, or impoverished accounts of human agency. They also overextend to cases where it is permissible to rely on a machine for something (...) that once required human cognition. We then give our account: you have a moral obligation to respect your own humanity (i.e., your capacity to set and pursue your own ends), and the process of writing a humanities paper is important for the cultivation of your humanity. We conclude by considering objections and offering replies. In the end, we argue that the moral reasons students have to refrain from using chatbots depend crucially on instructors’ ability to make writing assignments worthwhile. This relies on instructors having the right kind of institutional support, which sheds light on implications that this duty has for administrators, legislators, and the general public. (shrink)

There is a concern that the widespread deployment of autonomous machines will open up a number of ‘responsibility gaps’ throughout society. Various articulations of such techno-responsibility gaps have been proposed over the years, along with several potential solutions. Most of these solutions focus on ‘plugging’ or ‘dissolving’ the gaps. This paper offers an alternative perspective. It argues that techno-responsibility gaps are, sometimes, to be welcomed and that one of the advantages of autonomous machines is that they enable us to embrace (...) certain kinds of responsibility gap. The argument is based on the idea that human morality is often tragic. We frequently confront situations in which competing moral considerations pull in different directions and it is impossible to perfectly balance these considerations. This heightens the burden of responsibility associated with our choices. We cope with the tragedy of moral choice in different ways. Sometimes we delude ourselves into thinking the choices we make were not tragic ; sometimes we delegate the tragic choice to others ; sometimes we make the choice ourselves and bear the psychological consequences. Each of these strategies has its benefits and costs. One potential advantage of autonomous machines is that they enable a reduced cost form of delegation. However, we only gain the advantage of this reduced cost if we accept that some techno-responsibility gaps are virtuous. (shrink)

This paper draws a distinction between ‘right MacIntyreans’ who are relatively optimistic that MacIntyre’s vision of ethics can be realised in capitalist society, and ‘left MacIntyreans’ who are sceptical about this possibility, and aims to show that the ‘left MacIntyrean’ position is a promising perspective available to business ethicists. It does so by arguing for a distinction between ‘community-focused’ practices and ‘excellence-focused’ practices. The latter concept fulfils the promise of practices to provide us with an understanding of the best work (...) for humankind and highlights the affinities between MacIntyre’s concept of a practice and Marx’s conception of good work as free, creative activity. The paper concludes with a suggestion that we reflect on the best forms of work so that we can strive to ensure the very best activities, those most consonant with our flourishing, one day become available to all. (shrink)

This paper proposes a methodological redirection of the philosophical debate on artificial moral agency in view of increasingly pressing practical needs due to technological development. This “normative approach” suggests abandoning theoretical discussions about what conditions may hold for moral agency and to what extent these may be met by artificial entities such as AI systems and robots. Instead, the debate should focus on how and to what extent such entities should be included in human practices normally assuming moral agency and (...) responsibility of participants. The proposal is backed up by an analysis of the AMA debate, which is found to be overly caught in the opposition between so-called standard and functionalist conceptions of moral agency, conceptually confused and practically inert. Additionally, we outline some main themes of research in need of attention in light of the suggested normative approach to AMA. (shrink)

Rapid advances in AI-based automation have led to a number of existential and economic concerns. In particular, as automating technologies develop enhanced competency they seem to threaten the values associated with meaningful work. In this article, we focus on one such value: the value of achievement. We argue that achievement is a key part of what makes work meaningful and that advances in AI and automation give rise to a number achievement gaps in the workplace. This could limit people’s ability (...) to participate in meaningful forms of work. Achievement gaps are interesting, in part, because they are the inverse of the (negative) responsibility gaps already widely discussed in the literature on AI ethics. Having described and explained the problem of achievement gaps, the article concludes by identifying four possible policy responses to the problem. (shrink)

Some recent developments in Artificial Intelligence—especially the use of machine learning systems, trained on big data sets and deployed in socially significant and ethically weighty contexts—have led to a number of calls for “transparency”. This paper explores the epistemological and ethical dimensions of that concept, as well as surveying and taxonomising the variety of ways in which it has been invoked in recent discussions. Whilst “outward” forms of transparency may be straightforwardly achieved, what I call “functional” transparency about the inner (...) workings of a system is, in many cases, much harder to attain. In those situations, I argue that contestability may be a possible, acceptable, and useful alternative so that even if we cannot understand how a system came up with a particular output, we at least have the means to challenge it. (shrink)

As automating technologies are increasingly integrated into workplaces, one concern is that many of the human workers who remain will be relegated to more dull and less positively impactful work. This paper considers two rival theories of meaningful work that might be used to evaluate particular implementations of automation. The first is achievementism, which says that work that culminates in achievements to workers’ credit is especially meaningful; the other is the practice view, which says that work that takes the form (...) of an open-ended practice is especially meaningful. Of the two, the practice view is the better tool for assessing the future of meaningful work, because achievementism is explanatorily inadequate in two ways. Moreover, the practice view can explain why the most meaningful forms of work cannot be automated. A procedure can only be automated as long as the steps are defined, whereas, in such work, which steps to take is indefinitely open to redefinition. This reveals the real threat to meaningful work to be a political-economic one. The relevant ethical questions there have to do with how much creative control workers retain in crafting their own jobs, when those jobs involve meaningful work in collaboration with machines; and how to liberate workers from jobs that do not involve meaningful work, which should be left to machines anyway. (shrink)

Human values seem to vary across time and space. What implications does this have for the future of human value? Will our human and (perhaps) post-human offspring have very different values from our own? Can we study the future of human values in an insightful and systematic way? This article makes three contributions to the debate about the future of human values. First, it argues that the systematic study of future values is both necessary in and of itself and an (...) important complement to other future-oriented inquiries. Second, it sets out a methodology and a set of methods for undertaking this study. Third, it gives a practical illustration of what this ‘axiological futurism’ might look like by developing a model of the axiological possibility space that humans are likely to navigate over the coming decades. (shrink)

What is techno-optimism and how can it be defended? Although techno-optimist views are widely espoused and critiqued, there have been few attempts to systematically analyse what it means to be a techno-optimist and how one might defend this view. This paper attempts to address this oversight by providing a comprehensive analysis and evaluation of techno-optimism. It is argued that techno-optimism is a pluralistic stance that comes in weak and strong forms. These vary along a number of key dimensions but each (...) shares the view that technology plays a key role in ensuring that the good prevails over the bad. Whatever its strength, to defend this stance, one must flesh out an argument with four key premises. Each of these premises is highly controversial and can be subjected to a number of critiques. The paper discusses five such critiques in detail. The paper also considers possible responses from the techno-optimist. Finally, it is concluded that although strong forms of techno-optimism are not intellectually defensible, a modest, agency-based version of techno-optimism may be defensible. (shrink)

In this paper, we discuss the relation between recent philosophical discussions about meaning in life (from authors like Susan Wolf, Thaddeus Metz, and others) and the ethics of artificial intelligence (AI). Our goal is twofold, namely, to argue that considering the axiological category of meaningfulness can enrich AI ethics, on the one hand, and to portray and evaluate the small, but growing literature that already exists on the relation between meaning in life and AI ethics, on the other hand. We (...) start out our review by clarifying the basic assumptions of the meaning in life discourse and how it understands the term ‘meaningfulness’. After that, we offer five general arguments for relating philosophical questions about meaning in life to questions about the role of AI in human life. For example, we formulate a worry about a possible meaningfulness gap related to AI on analogy with the idea of responsibility gaps created by AI, a prominent topic within the AI ethics literature. We then consider three specific types of contributions that have been made in the AI ethics literature so far: contributions related to self-development, the future of work, and relationships. As we discuss those three topics, we highlight what has already been done, but we also point out gaps in the existing literature. We end with an outlook regarding where we think the discussion of this topic should go next. (shrink)

This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and (...) nationalistic pressures. (shrink)

In this paper, we delve into the significant impact of recent advancements in Artificial Intelligence (AI) on the future landscape of work. We discuss the looming possibility of mass unemployment triggered by AI and the societal repercussions of this transition. Despite the challenges this shift presents, we argue that it also unveils opportunities to mitigate social inequalities, combat global poverty, and empower individuals to follow their passions. Amidst this discussion, we also touch upon the existential question of the purpose of (...) human life in a world where machines predominantly perform work. Additionally, we explore the contentious issue of the moral status and rights of AI entities, contemplating the scenario where machines evolve to become sapient and sentient. The paper concludes with a call to action, emphasizing the necessity to acknowledge these potential outcomes and proactively seek solutions, as part of an inevitable journey through the evolution of human society shared with intelligent machines. (shrink)

John Danaher and Sven Nyholm have argued that automation, especially of the sort powered by artificial intelligence, poses a threat to meaningful work by diminishing the chances for meaning-conferring workplace achievement, what they call “achievement gaps”. In this paper, I argue that Danaher and Nyholm’s achievement gap thesis suffers from an ambiguity. The weak version of the thesis holds that automation may result in the appearance of achievement gaps, whereas the strong version holds that automation may result on balance loss (...) in possibilities for workplace achievements, i.e., in the appearance of an overall gappier work landscape. Against the strong version of the achievement gap thesis, I characterize situations where automation may result in boons to meaning-conferring workplace achievements: the appearance of what I call achievement spread and achievement swaps. Nevertheless, Danaher and Nyholm are right to worry about some uses of automation whereby human workers become subservient to AI. But these situations are better framed, I argue, as autonomy gaps rather than achievement gaps. (shrink)

Ratio, Volume 35, Issue 3, Page 181-193, September 2022.

To commemorate 40 years since the founding of the Journal of Business Ethics, the editors in chief of the journal have invited the editors to provide commentaries on the future of business ethics. This essay comprises a selection of commentaries aimed at creating dialogue around the theme Technology, Megatrends and Work. Of all the profound changes in business, technology is perhaps the most ubiquitous. There is not a facet of our lives unaffected by internet technologies and artificial intelligence. The Journal (...) of Business Ethics established a dedicated section that focuses on Technology and Business Ethics, yet issues related to this phenomenon run right through all the sections. Kirsten Martin, editor of the Technology and Business Ethics section, joins our interim social media editor, Hannah Trittin-UIbrich, to advance a human-centric approach to the development and application of digital technologies that places Business Ethics at centre of the analysis. For Shuili Du, technology is the defining condition for a new era of Corporate Social Responsibility—CSR 3.0—which she defines as “a company’s socially responsible strategies and practices that deal with key ethical and socio-technical issues associated with AI and related technologies on the one hand and leverage the power of AI and related technologies to tackle social and environmental problems on the other hand.” It is not just technologies that are a determining feature of our lives but technology companies, an argument made by Glen Whelan as he examines Big Business and the need for a Big Business Ethics as we try to understand the impact of Big Tech on our post-work world. Indeed, as noted by Ernesto Noronha and Premilla D’Cruz, megatrends in addition to advancement in technologies, namely globalization, the greening of economies, and changes in demographics and migration, are shaping the future for workers in ways previously unimaginable. Contributing to this important debate, Praveen Parboteeah considers the influence of another longstanding but oft overlooked megatrend, the role of religion in the workplace. Given the enormity of the influence of technology and other megatrends in our world, it is not surprising that this essay introduces ground-breaking ideas that speak to the future of business ethics research. (shrink)

Set aside fanciful doomsday speculations about AI. Even lower-level AIs, while otherwise friendly and providing us a universal basic income, would be able to do all our jobs. Also, we would over-rely upon AI assistants even in our personal lives. Thus, John Danaher argues that a human crisis of moral passivity would result However, I argue firstly that if AIs are posited to lack the potential to become unfriendly, they may not be intelligent enough to replace us in all our (...) jobs. If instead they are intelligent enough to replace us, the risk they become unfriendly increases, given that they would not need us and humans would just compete for valuable resources. Their hostility will not promote our moral passivity. Secondly, the use of AI assistants in our personal lives will become a problem only if we rely on them for almost all our decision-making and motivation. But such a (maximally) pervasive level of dependence raises the question of whether humans would accept it, and consequently whether the crisis of passivity will arise. (shrink)

We argue that the growing prevalence of statistical machine learning in everyday decision making – from creditworthiness to police force allocation – effectively replaces many of our humdrum practical judgments and that this will eventually undermine our capacity for making such judgments. We lean on Aristotle’s famous account of how phronesis and moral virtues develop to make our case. If Aristotle is right that the habitual exercise of practical judgment allows us to incrementally hone virtues, and if AI saves us (...) time by taking over some of those practical judgments, or if its pattern recognition capacities are very good at learning that kind of behavior – we risk innovating ourselves out of moral competence with the introduction of AI. (shrink)

If AI can write an excellent philosophy paper, we argue that philosophy journals should strongly consider publishing that paper. After all, AI stands to make significant contributions to ongoing projects in some subfields, and it benefits the world of philosophy for those contributions to be published in journals, the primary purpose of which is to disseminate significant contributions to philosophy. We also propose the Sponsorship Model of AI journal refereeing to mitigate any costs associated with our view. This model requires (...) at least one human to sponsor any AI manuscript submitted to a journal. After making this case, we evaluate a variety of objections—that our proposal will crash the academic job market, disincentivize humans from doing philosophy, and violate a variety of justified publishing norms—and conclude that they are all wanting. (shrink)

The creation of increasingly complex artificial intelligence (AI) systems raises urgent questions about their ethical and social impact on society. Since this impact ultimately depends on political decisions about normative issues, political philosophers can make valuable contributions by addressing such questions. Currently, AI development and application are to a large extent regulated through non-binding ethics guidelines penned by transnational entities. Assuming that the global governance of AI should be at least minimally democratic and fair, this paper sets out three desiderata (...) that an account should satisfy when theorizing about what this means. We argue, first, that an analysis of democratic values, political entities and decision-making should be done in a holistic way; second, that fairness is not only about how AI systems treat individuals, but also about how the benefits and burdens of transformative AI are distributed; and finally, that justice requires that governance mechanisms are not limited to AI technology, but are incorporated into a range of basic institutions. Thus, rather than offering a substantive theory of democratic and fair AI governance, our contribution is metatheoretical: we propose a theoretical framework that sets up certain normative boundary conditions for a satisfactory account. (shrink)

Artificial intelligence and robotic technologies have become nearly ubiquitous. In some ways, the developments have likely helped us, but in other ways sophisticated technologies set back our interests. Among the latter sort is what has been dubbed the ‘severance problem’—the idea that technologies sever our connection to the world, a connection which is necessary for us to flourish and live meaningful lives. I grant that the severance problem is a threat we should mitigate and I ask: how can we stave (...) it off? In particular, the fact that some technologies exhibit behavior that is unclear to us seems to constitute a kind of severance. Building upon contemporary work on moral responsibility, I argue for a mechanism I refer to as ‘technological answerability’, namely the capacity to recognize human demands for answers and to respond accordingly. By designing select devices—such as robotic assistants and personal AI programs—for increased answerability, we see at least one way of satisfying our demands for answers and thereby retaining our connection to a world increasingly occupied by technology. (shrink)

Are we being manipulated online? If so, is being manipulated by online technologies and algorithmic systems notably different from human forms of manipulation? And what is under threat exactly when people are manipulated online? This volume provides philosophical and conceptual depth to debates in digital ethics about online manipulation. The contributions explore the ramifications of our increasingly consequential interactions with online technologies such as online recommender systems, social media, user-friendly design, micro-targeting, default-settings, gamification, and real-time profiling. The authors in this (...) volume address four broad and interconnected themes: • What is the conceptual nature of online manipulation? And how, methodologically, should the concept be defined? • Does online manipulation threaten autonomy, freedom, and meaning in life, and if so, how? • What are the epistemic, affective, and political harms and risks associated with online manipulation? • What are legal and regulatory perspectives on online manipulation? The Philosophy of Online Manipulation brings these various considerations together to offer philosophically robust answers to critical questions concerning our online interactions with one another and with autonomous systems. It will be of interest to researchers and advanced students working in moral philosophy, digital ethics, philosophy of technology, and the ethics of manipulation. (shrink)

This paper attempts to show how Adorno’s thought can illuminate our reflections on the future of work. It does so by situating Adorno’s conception of genuine activity in relation to his negativist critical epistemology and his subtle account of the distinction between true and false needs. What emerges is an understanding of work that can guide our aspirations for the future of work, and one we illustrate via discussions of creative work and care work. These are types of work which (...) cater to persistent human needs, albeit ones that are distorted under present social conditions. Adorno’s thought helps us to understand why this is the case. (shrink)

Introduction Conceptual Distinctions: Work, Labor, Employment, Leisure The Value of Work and the ‘Anti-Work’ Critique Work, Meaning, and Dignity Work and Distributive Justice Work and Contributive Justice Work and Productive Justice Work and its Future BIBLIOGRAPHY .

While today there is much discussion about the ethics of artificial intelligence, less work has been done on the philosophical nature of AI. Drawing on Bergson and Ricoeur, this paper proposes to use the concepts of time, process, and narrative to conceptualize AI and its normatively relevant impact on human lives and society. Distinguishing between a number of different ways in which AI and time are related, the paper explores what it means to understand AI as narrative, as process, or (...) as the emergent outcome of processes and narratives. It pays particular attention to what it calls the “narrator” and “time machine” roles of AI and the normative implications of these roles. It argues that AI processes and narratives shape our time and link past, present, and future in particular ways that are ethically and politically significant. (shrink)

This article assesses the exploration of the utopian paradigm within the context of technological advancement and its implications for human labor. It engages in this reflection, beginning with John Danaher’s reading of utopian perspectives related to the evolution of the labor domain, and then focusing on the significance of the social element and its dynamics in redefining labor and productive structures. It focuses on utopia as a regulatory ideal, valuing the conjectural contributions from theories throughout the history of utopian thought. (...) The analysis aims to understand how utopian theories arise in contexts of social dissatisfaction, prompting internal reflection on the structure. The article is organized into three sections: the first introduces the concept of utopia, tracing its historical and philosophical roots, with a focus on influential figures such as Henri de Saint-Simon and Charles Fourier. Through the study of nineteenth-century social theories, the article explores their radical proposals for societal restructuring in response to the socio-economic upheavals of their time. The second section examines utopia as a form of social critique, emphasizing its critical function in assessing and guiding societal development, by engaging with Norbert Elias’s definitions of utopia. The third section evaluates the relevance of utopia in contemporary discourse on social change, emphasizing the critical examination of utopian visions in relation to the concept of the end of work and aiming to articulate clear parameters defining a utopian model as a social regulatory ideal. (shrink)

Artificial intelligence-driven technology increasingly shapes work practices and, accordingly, employees’ opportunities for meaningful work (MW). In our paper, we identify five dimensions of MW: pursuing a purpose, social relationships, exercising skills and self-development, autonomy, self-esteem and recognition. Because MW is an important good, lacking opportunities for MW is a serious disadvantage. Therefore, we need to know to what extent employers have a duty to provide this good to their employees. We hold that employers have a duty of beneficence to design (...) for opportunities for MW when implementing AI-technology in the workplace. We argue that this duty of beneficence is supported by the three major ethical theories, namely, Kantian ethics, consequentialism, and virtue ethics. We defend this duty against two objections, including the view that it is incompatible with the shareholder theory of the firm. We then employ the five dimensions of MW as our analytical lens to investigate how AI-based technological innovation in logistic warehouses has an impact, both positively and negatively, on MW, and illustrate that design for MW is feasible. We further support this practical feasibility with the help of insights from organizational psychology. We end by discussing how AI-based technology has an impact both on meaningful work (often seen as an aspirational goal) and decent work (generally seen as a matter of justice). Accordingly, ethical reflection on meaningful and decent work should become more integrated to do justice to how AI-technology inevitably shapes both simultaneously. (shrink)

Does the rise of artificial intelligence pose a threat to human sources of meaning? While much ink has been spilled on how AI could undercut meaningful human work, John Danaher has raised the stakes by claiming that AI could “sever” human beings from non-work-related sources of meaning—specifically, those related to intellectual and moral goods. Against this view, I argue that his suggestion that AI poses a threat to these areas of meaningful activity is overstated. Self-transformative activities pose a hard limit (...) to AI’s impingement on meaningful human activities. Contra Danaher, I suggest that a wider range of sources for meaning will continue to exist in a world dominated by AI. (shrink)

In this article, I consider Alkis Kontos’ and Allan Bäck’s critiques to Suits that his theory of games and good living lack ontological grounds or rests on the wrong foundations. Taking these criti...

Automation does not always replace human labour altogether: there is an intermediate stage of human co-existence with machines, including robots, in a production process. Cobots are robots designed to participate at close quarters with humans in such a process. I shall discuss the possible role of cobots in facilitating the eventual total elimination of human operators from production in which co-bots are initially involved. This issue is complicated by another: cobots are often introduced to workplaces with the message (from managers) (...) that they will not replace human operators but will rather assist human operators and make their jobs more interesting and responsible. If, in the process of learning to assist human operators, robots acquire the skills of human operators, then the promise of avoiding replacement can turn out to be false, and if a human operator loses his job, he has been harmed twice over: once by unemployment and once by deception. I shall suggest that this moral risk attends some cobots more than others. (shrink)

It is commonly assumed that a virtual life would be less meaningful (perhaps even meaningless). As virtual reality technologies develop and become more integrated into our everyday lives, this poses a challenge for those that care about meaning in life. In this chapter, it is argued that the common assumption about meaninglessness and virtuality is mistaken. After clarifying the distinction between two different visions of virtual reality, four arguments are presented for thinking that meaning is possible in virtual reality. Following (...) this, four objections are discussed and rebutted. The chapter concludes that we can be cautiously optimistic about the possibility of meaning in virtual worlds. (shrink)

Can human life have value in a world in which humans are rendered obsolete by technological advances? This article answers this question by developing an extended analysis of the axiological impact of human obsolescence. In doing so, it makes four main arguments. First, it argues that human obsolescence is a complex phenomenon that can take on at least four distinct forms. Second, it argues that one of these forms of obsolescence is not a coherent concept and hence not a plausible (...) threat to human well-being. Third, it argues that existing fears of technologically-induced human obsolescence are less compelling than they first appear. Fourth, it argues that there are two reasons for embracing a world of widespread, technologically-induced human obsolescence. (shrink)

The concepts of work, labour, leisure, and play have been widely debated by the social sciences. By contrast, most canonical figures in the history of analytic philosophy have written very little, if anything, on the topic. One of the few exceptional discussions of the concept of labour and its history can be found in Bertrand Russell’s popular work from the 1930s, and more specifically his well-known essay ‘In Praise of Idleness’. In the essay, Russell attempts a spirited defence of a (...) specific, qualified proposal for eventual reform: the universal limitation of the working day to four hours. Looming in the background of this proposal is a bolder thesis, namely the view that social progress involves the eventual minimisation (if not the complete elimination) of labour in the sphere of human activity. It is this bolder view that, as I shall show in what follows, Russell at least partly shares with another philosopher whose work shaped the history of analytic philosophy, Moritz Schlick. While Russell's work on the future of leisure and labour was written for a popular audience and widely read, Schlick’s early writings on work and play have not received adequate scholarly attention. Aside from some differences in their scope and details, there are some striking parallels between Russell’s and Schlick’s overall views on the future of work and play. (shrink)

Volume 19, Issue 7, July 2019, Page 16-18.

Debates concerning digital automation are mostly focused on the question of the availability of jobs in the short and long term. To counteract the possible negative effects of automation, it is often suggested that those at risk of technological unemployment should have access to retraining and reskilling opportunities. What is often missing in these debates are implications that all of this may have for individual autonomy understood as the ability to make and develop long-term plans. In this paper, I argue (...) that if digital automation becomes rapid, it will significantly undermine the legitimate expectation of stability and consequently, the ability to make and pursue long-term plans in the sphere of work. I focus on what is often taken to be one of the main long-term plans, i.e. the choice of profession, and I argue that this choice may be undermined by the pressure to continuously acquire new skills while at the same time facing a diminishing range of professions that one can choose from. Given that the choice of profession is significant for not-work related spheres of life, its undermining can greatly affect individual autonomy in these other spheres too. I argue that such undermining of individual planning agency constitutes a distinctive form of harm that necessitates a proactive institutional response. (shrink)

The last decade has seen significant improvements in Artificial Intelligence (AI) technologies, including robotics, machine vision, speech recognition and text generation. Increasing automation will undoubtedly affect the future of work, and discussions on how the development of AI in the workplace will impact labor markets often include two scenarios: (1) labor replacement and (2) labor enabling. The former involves replacing workers with machines, while the latter assumes that human-machine cooperation can significantly improve worker productivity. In this context, it is often (...) argued that (1) could lead to mass unemployment and that (2) therefore would be more desirable. We argue, however, that the labor-enabling scenario conflates two distinct possibilities. On the one hand, technology can increase productivity while also promoting “the goods of work,” such as the opportunity to pursue excellence, experience a sense of community and contribute to society (human augmentation). On the other hand, higher productivity can also be achieved in a way that reduces opportunities for the “goods of work” and/or increases “the bads of work,” such as injury, reduced physical and mental health, reduction of autonomy, privacy and human dignity (human stunting). We outline the differences of these outcomes and discuss the implications for the labor market in the context of contemporaneous discussions on the value of work and human wellbeing. (shrink)

Straipsnyje tyrinėjamas santykis tarp šiuolaikinio aristotelizmo žmogiškojo klestėjimo sampratos ir dviejų kritinių perspektyvų apie darbą. Prasmingo darbo perspektyva klausia, koks darbas būtų prasmingas, teigdama, kad toks darbas yra būtinas žmonių gerovei. Postdarbo perspektyva teigia, kad geras gyvenimas slypi už darbo ribų ir kad turime siekti darbą ne reformuoti, bet kiek įmanoma labiau išnaikinti. Straipsnyje teigiama, kad šiuolaikinė aristoteliška praktikų ir gero gyvenimo samprata leidžia atsižvelgti į abiejų perspektyvų įžvalgas. Praktikų samprata inkorporuoja prasmingo darbo sampratą, tačiau apima ir įvairias nedarbines veiklas, (...) o, konceptualizuojant gerą gyvenimą kaip praktikų gyvenimą, atsižvelgiama į postdarbo perspektyvos iššūkį konceptualizuoti žmogiškąjį klestėjimą neteikiant prioriteto darbui. Taip šiuolaikinio aristotelizmo gero gyvenimo samprata leidžia reikalauti ir geresnio darbo, ir mažesnio darbo kiekio. (shrink)

In this article, we argue that Ted Chiang’s short stories offer a realist philosophy of technology, one that charts a third course between the techno-pessimism and techno-optimism that characterize the history of philosophizing about technology and much of the speculative fiction about it. We begin by surveying the history of utopian and skeptical approaches to technology in philosophy and speculative fiction. We then move to discuss two of Chiang’s recent stories and use them to articulate the author’s techno-realism. Chiang’s view, (...) as it is developed in these stories, has three features: First, technology is not merely an agent of de-skilling, it can also promote self-knowledge and insight. Second, technology is not only an agent of alienation it can also provide succor and psychological relief. Finally, technology does not necessarily remake us into new beings with new capacities and needs. In many cases, it just gives us further avenues to be what we already were - to act on the tendencies and pursue the needs we always had. (shrink)

This paper analyzes a contemporary conception of digital despotism through themes drawn from classical Greek philosophy. By taking as a measure some of the most radically excluded categories of human existence, Aristotle’s slave and slavish types, I offer a way to understand digital despotism as a syndrome of overlapping risks to human impairment, brought about by the advent of automated data processing technologies, which dispossesses people along i) ontological and ii) cognitive dimensions. This conception aims to balance the appeal to (...) the _language_ of slavery in recent global historical, Marxist, republican, and postcolonial discourses on digital technology, while distinguishing itself from the coercive, material violence involved in the experiences of slavery itself. Unlike prior conceptions, this thematic idea of digital despotism moreover suggests political vulnerability to forms of despotic rule and integrates various risk factors that can therefore be better recognized in both policy intervention, and individual and/or collective resistance. (shrink)

Karl Marx took technological development to be the heart of capitalism’s drive and, ultimately, its undoing. Machines are initially engineered to perform functions that otherwise would be performed by human workers. The economic logic pushed to its limits leads to the prospect of full automation: a world in which all labor required to meet human needs is superseded and performed by machines. To explore the future of automation, the paper considers a specific point of resemblance between human beings and machines: (...) intelligence. Examining the development of machine intelligence through the Marxist concepts of alienation and reification reveals a tension between certain technophilic post-labor visions and the reality of capitalistic development oriented towards intelligent technology. If the prospect of a post-labor world depends on technologies that closely resemble humans, the world can no longer be described as post-labor. The tension has implications for the potential moral status of machines and the possibility of full automation. The paper considers these implications by outlining four possible futures of automation. (shrink)

Las siguientes líneas presentan un análisis de las connotaciones de la utopía, a través del cual es posible un cuestionamiento certero acerca de si, hasta el momento, por medio de lo institucional/académico, se ha estado considerando, y con ello, proyectándose didácticamente, una utopía que, lejos de la ambigüedad, no es el mismo sueño para estamentos privilegiados que para la mayoría de las personas que no ostentan dichos privilegios. Desde el pasado a la más rabiosa actualidad, se trata de mostrar cómo (...) hay otra forma de enseñar la utopía, que puede ser un pensamiento racional, y algo más pragmático, de lo que quizás nos inculcaron, algo con una vigencia y una potencialidad que diversas fuentes, desde la investigación social, y educativa, pueden atestiguar. (shrink)

Recently, a growing number of experts in artificial intelligence (AI) and medicine have be-gun to suggest that the use of AI systems, particularly machine learning (ML) systems, is likely to humanise the practice of medicine by substantially improving the quality of clinician-patient relationships. In this thesis, however, I argue that medical ML systems are more likely to negatively impact these relationships than to improve them. In particular, I argue that the use of medical ML systems is likely to comprise the (...) quality of trust, care, empathy, understanding, and communication between clinicians and patients. (shrink)