The increasing workplace use of artificially intelligent (AI) technologies has implications for the experience of meaningful human work. Meaningful work refers to the perception that one’s work has worth, significance, or a higher purpose. The development and organisational deployment of AI is accelerating, but the ways in which this will support or diminish opportunities for meaningful work and the ethical implications of these changes remain under-explored. This conceptual paper is positioned at the intersection of the meaningful work and ethical AI (...) literatures and offers a detailed assessment of the ways in which the deployment of AI can enhance or diminish employees’ experiences of meaningful work. We first outline the nature of meaningful work and draw on philosophical and business ethics accounts to establish its ethical importance. We then explore the impacts of three paths of AI deployment (replacing some tasks, ‘tending the machine’, and amplifying human skills) across five dimensions constituting a holistic account of meaningful work, and finally assess the ethical implications. In doing so we help to contextualise the meaningful work literature for the era of AI, extend the ethical AI literature into the workplace, and conclude with a range of practical implications and future research directions. (shrink)

What place do experiences of beauty have in a meaningful life? A marginal one, at best, it would seem, if one looks at the current literature in analytic philosophy. Treatments of beauty within so-called “analytic existentialism” tend to suffer from four limitations: beauty is neglected, reduced to artistic production, saddled to theology, or taken as a mere application of a broader theoretical framework. These discussions fail to engage with the rich tradition of philosophical aesthetics. In this essay, I begin by (...) responding to the contention that experiences of beauty cannot lend life meaning because they are passive. Drawing on work in philosophical aesthetics, I then argue that encounters with the beautiful count as genuinely meaning-conferring because they have features commonly taken as marks of meaningfulness. (shrink)

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)

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)

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)

A great achievement makes one’s life go better independently of its results, but what makes an achievement great? A simple answer is—its difficulty. I defend this view against recent, pressing objections by interpreting difficulty in terms of competitiveness. Difficulty is determined not by how hard the agent worked for the end but by how hard others would need to do in order to compete. Successfully reaching a goal is a valuable achievement because it is difficult, and it is difficult because (...) it is competitive. Hence, both virtuosic performances and lucky successes can be valuable achievements. (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 engage with the nature and the value of achievement through a critical examination of an argument according to which biomedical “enhancement” of our capacities is impermissible because enhancing ourselves in this way would threaten our achievements. We call this the argument against enhancement from achievement. We assess three versions of it, each admitting to a strong or a weak reading. We argue that strong readings fail, and that weak readings, while in some cases successful in showing that enhancement interferes (...) with the nature or value of achievement, fail to establish that enhancement poses an unusual threat to achievement. (shrink)

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...) stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society. (shrink)

Recent literature has argued that what makes certain activities ranging from curing cancer to running a marathon count as achievements, and what makes achievements intrinsically valuable is, centrally, that they involve great effort. Although there is much the difficulty-based view gets right, I argue that it generates the wrong results about some central cases of achievement, and this is because it is too narrowly focused on only one perfectionist capacity, the will. I propose a revised perfectionist account on which an (...) achievement is an activity that fully exercises or expresses any number of a range of perfectionist capacities. (shrink)

Suppose we are about to enter an era of increasing technological unemployment. What implications does this have for society? Two distinct ethical/social issues would seem to arise. The first is one of distributive justice: how will the efficiency gains from automated labour be distributed through society? The second is one of personal fulfillment and meaning: if people no longer have to work, what will they do with their lives? In this article, I set aside the first issue and focus on (...) the second. In doing so, I make three arguments. First, I argue that there are good reasons to embrace non-work and that these reasons become more compelling in an era of technological unemployment. Second, I argue that the technological advances that make widespread technological unemployment possible could still threaten or undermine human flourishing and meaning, especially if they do not remain confined to the economic sphere. And third, I argue that this threat could be contained if we adopt an integrative approach to our relationship with technology. In advancing these arguments, I draw on three distinct literatures: the literature on technological unemployment and workplace automation; the antiwork critique—which I argue gives reasons to embrace technological unemployment; and the philosophical debate about the conditions for meaning in life—which I argue gives reasons for concern. (shrink)

One of the most noticeable trends in recent years has been the increasing reliance of public decision-making processes on algorithms, i.e. computer-programmed step-by-step instructions for taking a given set of inputs and producing an output. The question raised by this article is whether the rise of such algorithmic governance creates problems for the moral or political legitimacy of our public decision-making processes. Ignoring common concerns with data protection and privacy, it is argued that algorithmic governance does pose a significant threat (...) to the legitimacy of such processes. Modelling my argument on Estlund’s threat of epistocracy, I call this the ‘threat of algocracy’. The article clarifies the nature of this threat and addresses two possible solutions. It is argued that neither solution is likely to be successful, at least not without risking many other things we value about social decision-making. The result is a somewhat pessimistic conclusion in which we confront the possibility that we are creating decision-making processes that constrain and limit opportunities for human participation. (shrink)

The evaluation of labour markets and of particular jobs ought to be sensitive to a plurality of benefits and burdens of work. We use the term 'the goods of work' to refer to those benefits of work that cannot be obtained in exchange for money and that can be enjoyed mostly or exclusively in the context of work. Drawing on empirical research and various philosophical traditions of thinking about work we identify four goods of work: 1) attaining various types of (...) excellence; 2) making a social contribution; 3) experiencing community; and 4) gaining social recognition. Our account of the goods of work can be read as unpacking the ways in which work can be meaningful. The distribution of the goods of work is a concern of justice for two conjoint reasons: First, they are part of the conception of the good of a large number of individuals. Second, in societies without an unconditional income and in which most people are not independently wealthy, paid work is non-optional and workers have few, if any, occasions to realize these goods outside their job. Taking into account the plurality of the goods of work and their importance for justice challenges the theoretical and political status quo, which focuses mostly on justice with regard to the distribution of income. We defend this account against the libertarian challenge that a free labour market gives individuals sufficient options to realise the goods of work important to them, and discuss the challenge from state neutrality. In the conclusion, we hint towards possible implications for today’s labour markets. (shrink)

In 1930, John Maynard Keynes published a masterpiece that should be a compulsory reading for any educated person, a short essay entitled Economic Possibilities for our Grandchildren (Keynes 1930, 1972).All references are from the 1931 online version of Keynes (1930) provided by Project Gutenberg, so pages are left unspecified. I am sure Keynes would have found such free access to information coherent with the philosophy of the essay. It was an attempt to see what life would be like if peace, (...) prosperity and techno-scientific developments were increasingly part of humanity’s future. Of course, things went otherwise. The Great Depression begun in the same year, and World War II soon followed. In the subsequent decades, other disasters, conflicts and crises awaited humanity. The essay became a philosophical exercise that could collect dust in the libraries. Yet the fact that history took such terrible and tragic steps back does not in any way detract from Keynes’ brilliant insights. And to. (shrink)

This article gives an account of what makes achievements valuable. Although the natural thought is that achievements are valuable because of the product, such as a cure for cancer or a work of art, I argue that the value of the product of an achievement is not sufficient to account for its overall value. Rather, I argue that achievements are valuable in virtue of their difficulty. I propose a new perfectionist theory of value that acknowledges the will as a characteristic (...) human capacity, and thus holds that the exercise of the will, and therefore difficulty, is intrinsically valuable. (shrink)

In this paper I present a novel account of achievement and I argue that, all other things being equal, the presence of this particular type of achievement in a person’s life makes that life more meaningful. In arguing for this conclusion, I explore the connections between m-achievements and a person’s self-conception and especially the idea that m-achievements provide a reason for the revision of one’s self-conception.

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

In this article I use Kantian moral philosophy to develop a concept of meaningful work. Specifically, a Kantian would argue that work is meaningful if (1) it is freely entered into, (2) it allows the worker to exercise her autonomy and independence, (3) it enables the worker to develop her rational capacities, (4) it provides a wage sufficient for physical welfare, (5) it supports the moral development of employees and (6) it is not paternalistic. I then provide examples of contemporary (...) management practices that provide meaningful work in this sense. (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)

Cognitive enhancement has an increasingly wider influence on our life. The main issue that concerns epistemologists is what its epistemological implications are. Adam Carter and Duncan Pritchard argue that cognitive enhancement improves cognitive achievement, but this view faces axiological objections. A worry exists that cognitive enhancement undermines achievements and erodes intellectual character. Crucially, two parties seem to talk past each other because the nature of cognitive enhancement and the value of cognitive enhancement are not clearly distinguished. To end the stand‐off (...) between the two parties, I take insight from Gwen Bradford’s work and argue that, other things being equal, cognitive enhancement either decreases the value of cognitive achievement or undermines cognitive achievement. In the face of this threat, I further submit that we could learn to live with cognitive enhancement in an integrated way so that the lost value can be restored. (shrink)

We offer a precautionary account of why business managers should proactively rethink about what kinds of automation firms ought to implement, by exploring two challenges that automation will potentially pose. We engage the current debate concerning whether life without work opportunities will incur a meaning crisis, offering an argument in favor of the position that if technological unemployment occurs, the machine age may be a structurally limited condition for many without work opportunities to have or add meaning to their lives. (...) We term this the axiological challenge. This challenge, if it turns out to be persuasive, leads to a second challenge, to which managers should pay special attention: the teleological challenge, a topic especially relevant to the broad literature about corporate purpose and governance. We argue that both the shareholder profit-maximization model and its major alternative, stakeholder theory, are insufficient to address the meaning crisis. Unless rebutted, the two challenges compel business leaders to proactively rethink the purpose of business for future society. Otherwise, businesses will be contributors to a major ethical crisis and societal externality in the coming society. (shrink)

Achievements have recently begun to attract increased attention from value theorists. One recurring idea in this budding literature is that one important factor determining the magnitude or value of an achievement is the amount of effort the achiever invested. The aim of this paper is to present the most plausible version of this idea. This advances the current state of debate where authors are invoking substantially different notions of effort and are thus talking past each other. While the concept of (...) effort has been invoked in the philosophical analysis of a number of important concepts such as desert, attention, competence, and distributive justice, it has hardly ever been analyzed itself. This paper makes headway in this regard by discussing three ambiguities in the everyday notion of effort. It continues to develop two accounts of effort and shows how both of them are achievement-enhancing. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

In liberal political theory, meaningful work is conceptualised as a preference in the market. Although this strategy avoids transgressing liberal neutrality, the subsequent constraint upon state intervention aimed at promoting the social and economic conditions for widespread meaningful work is normatively unsatisfactory. Instead, meaningful work can be understood to be a fundamental human need, which all persons require in order to satisfy their inescapable interests in freedom, autonomy, and dignity. To overcome the inadequate treatment of meaningful work by liberal political (...) theory, I situate the good of meaningful work within a liberal perfectionist framework, from which standpoint I develop a normative justification for making meaningful work the object of political action. To understand the content of meaningful work, I make use of Susan Wolf’s distinct value of meaningfulness, in which she brings together the dimensions of objectivity and subjectivity into the ‘bipartite value’ of meaningfulness (BVM) (Wolf, Meaning in life and why it matters, 2010). However, in order to be able to incorporate the BVM into our lives, we must become valuers, that is, co-creators of values and meanings. This demands that we acquire the relevant capabilities and status as co-authorities in the realm of value. I conclude that meaningful work is of first importance because it is a fundamental human need, and that society ought to be arranged to allow as many people as possible to experience their work as meaningful through the development of the relevant capabilities. (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)

This paper discusses the robotization of the workplace, and particularly the question of whether robots can be good colleagues. This might appear to be a strange question at first glance, but it is worth asking for two reasons. Firstly, some people already treat robots they work alongside as if the robots are valuable colleagues. It is worth reflecting on whether such people are making a mistake. Secondly, having good colleagues is widely regarded as a key aspect of what can make (...) work meaningful. In discussing whether robots can be good colleagues, the paper compares that question to the more widely discussed questions of whether robots can be our friends or romantic partners. The paper argues that the ideal of being a good colleague has many different parts, and that on a behavioral level, robots can live up to many of the criteria typically associated with being a good colleague. Moreover, the paper also argues that in comparison with the more demanding ideals of being a good friend or a good romantic partner, it is comparatively easier for a robot to live up to the ideal of being a good colleague. The reason for this is that the “inner lives” of our friends and lovers are more important to us than the inner lives of our colleagues. (shrink)

The concept of meaningful work has recently received increased attention in philosophy and other disciplines. However, the impact of the increasing robotization of the workplace on meaningful work has received very little attention so far. Doing work that is meaningful leads to higher job satisfaction and increased worker well-being, and some argue for a right to access to meaningful work. In this paper, we therefore address the impact of robotization on meaningful work. We do so by identifying five key aspects (...) of meaningful work: pursuing a purpose, social relationships, exercising skills and self-development, self-esteem and recognition, and autonomy. For each aspect, we analyze how the introduction of robots into the workplace may diminish or enhance the meaningfulness of work. We also identify a few ethical issues that emerge from our analysis. We conclude that robotization of the workplace can have both significant negative and positive effects on meaningful work. Our findings about ways in which robotization of the workplace can be a threat or opportunity for meaningful work can serve as the basis for ethical arguments for how to—and how not to—implement robots into workplaces. (shrink)

Most people, including philosophers, tend to classify human motives as falling into one of two categories: the egoistic or the altruistic, the self-interested or the moral. According to Susan Wolf, however, much of what motivates us does not comfortably fit into this scheme. Often we act neither for our own sake nor out of duty or an impersonal concern for the world. Rather, we act out of love for objects that we rightly perceive as worthy of love--and it is these (...) actions that give meaning to our lives. Wolf makes a compelling case that, along with happiness and morality, this kind of meaningfulness constitutes a distinctive dimension of a good life. Written in a lively and engaging style, and full of provocative examples, Meaning in Life and Why It Matters is a profound and original reflection on a subject of permanent human concern. (shrink)

How would it be assessed from an ethical point of view if human wage work were replaced by artificially intelligent systems (AI) in the course of an automation process? An answer to this question has been discussed above all under the aspects of individual well-being and social justice. Although these perspectives are important, in this article, we approach the question from a different perspective: that of leading a meaningful life, as understood in analytical ethics on the basis of the so-called (...) meaning-in-life debate. Our thesis here is that a life without wage work loses specific sources of meaning, but can still be sufficiently meaningful in certain other ways. Our starting point is John Danaher’s claim that ubiquitous automation inevitably leads to an achievement gap. Although we share this diagnosis, we reject his provocative solution according to which game-like virtual realities could be an adequate substitute source of meaning. Subsequently, we outline our own systematic alternative which we regard as a decidedly humanistic perspective. It focuses both on different kinds of social work and on rather passive forms of being related to meaningful contents. Finally, we go into the limits and unresolved points of our argumentation as part of an outlook, but we also try to defend its fundamental persuasiveness against a potential objection. (shrink)