Sven Nyholm

The absence of meaningfulness in life is meaninglessness. But what is the polar opposite of meaningfulness? In recent and ongoing work together with Stephen Campbell and Marcello di Paola respectively, I have explored what we dub ‘anti-meaning’: the negative counterpart of positive meaning in life. Here, I relate this idea of ‘anti-meaningful’ actions, activities, and projects to the topic of death, and in particular the deaths or suffering of those who will live after our own deaths. Connecting this idea of anti-meaning and what happens after our own deaths to recent work by Samuel Scheffler on what he calls ‘the collective afterlife’ and his four reasons to care about future generations, I argue that if we today make choices or have lifestyles that later lead to unnecessarily early deaths and otherwise avoidable suffering of people who will live after we have died, this robs our current choices and lifestyles of some of their meaning, perhaps even making them the opposite of meaningful in the long run.

The concept of a digital twin comes from engineering.1 It refers to a digital model of an artefact in the real world, which takes data about the artefact itself, data about other such artefacts, among other things, as inputs. The idea is that the maintenance of artefacts—such as jet engines—can be vastly improved if we work with digital twins that simulate actual objects. Similarly, personalised medicine might benefit from the digital modelling of body parts or even whole human bodies. A medical digital twin could use data about the patient, more general population data, and other inputs to generate predictions about the patient. This could lead to highly personalised interventions and nuanced judgments about the patient’s health. Matthias Braun2 discusses this intriguing prospect, asking how we should think about the way(s) in which a digital twin could represent a patient. I will respond to Braun’s striking suggestion that we can regard a digital twin as an extension of the patient’s body. Notably, Braun does not compare his just-mentioned idea with the extended mind thesis popularised by Andy Clark and David Chalmers.3 But I am sure many readers will be reminded of the extended mind thesis. Accordingly, I will consider this comparison. I cannot discuss this comparison in detail, nor fully evaluate Braun’s suggestion. But I can say something about how we might approach this comparison, and provide some …

In fascinating recent work, Julian Savulescu and his various co‐authors argue that human love is one of the things we can improve upon using biomedical enhancements. Is that so? This article first notes that Savulescu and his co‐authors mainly treat love as a means to various other goods. Love, however, is widely regarded as an intrinsic good. To investigate whether enhancements can produce the distinctive intrinsic good of love, this article does three things. Drawing on Philip Pettit's recent discussion of ‘robustly demanding goods’, it asks what exactly we intrinsically desire in seeking love; it considers four possible outcomes involving attachment‐enhancements and attachments; and it considers two different pieces of news we might receive about our lovers' attachment to us (that it is, or that it is not, sustained with the help of enhancement‐technologies). Enhancement‐sustained attachment, it is concluded, is less desirable than the intrinsic good of love.

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.

The literature on ethics and user attitudes towards AVs discusses user concerns in relation to automation; however, we show that there are additional relevant issues at stake. To assess adolescents’ attitudes regarding the ‘car of the future’ as presented by car manufacturers, we conducted two studies with over 400 participants altogether. We used a mixed methods approach in which we combined qualitative and quantitative methods. In the first study, our respondents appeared to be more concerned about other aspects of AVs than automation. Instead, their most commonly raised concerns were the extensive use of AI, recommender systems, and related issues of autonomy, invasiveness and personal privacy. The second study confirmed that several AV impacts were negatively perceived. The responses were, however, ambivalent. This confirms previous research on AV attitudes. On one hand, the AV features were perceived as useful, while on the other hand, their impacts were negatively assessed. We followed theoretical insights form futures studies and responsible research and innovation, which helped to identify that there are additional user concerns than what has been previously discussed in the literature on public attitudes and ethics of AVs, as well what has been envisioned by car manufactures.

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.

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.

Drawing on insights from robotics, psychology, and human-computer interaction, developers of sex robots are currently aiming to create emotional bonds of attachment and even love between human users and their products. This is done by creating robots that can exhibit a range of facial expressions, that are made with human-like artificial skin, and that possess a rich vocabulary with many conversational possibilities. In light of the human tendency to anthropomorphize artefacts, we can expect that designers will have some success and that this will lead to the attribution of mental states to the robot that the robot does not actually have, as well as the inducement of significant emotional responses in the user. This raises the question of whether it might be ethically problematic to try to develop robots that appear to love their users. We discuss three possible ethical concerns about this aim: first, that designers may be taking advantage of users’ emotional vulnerability; second, that users may be deceived; and, third, that relationships with robots may block off the possibility of more meaningful relationships with other humans. We argue that developers should attend to the ethical constraints suggested by these concerns in their development of increasingly humanoid sex robots. We discuss two different ways in which they might do so.

The so-called Disability Paradox arises from the apparent tension between the popular view that disability leads to low well-being and the relatively high life-satisfaction reports of disabled people. Our aim in this essay is to make some progress toward dissolving this alleged paradox by exploring the relationship between disability and various “goods of life”—that is, components of a life that typically make a person’s life go better for her. We focus on four widely recognized goods of life (happiness, rewarding relationships, knowledge, achievement) and four common types of disability (sensory, mobility, intellectual, and social) and systematically examine the extent to which the four disability types are in principle compatible with obtaining the four goods of life. Our findings suggest that that there is a high degree of compatibility. This undermines the widespread view that disabilities, by their very nature, substantially limit a person’s ability to access the goods of life, and it provides some guidance on how to dissolve the Disability Paradox.

John Harris discusses the problem of other minds, not as it relates to other human minds, but rather as it relates to artificial intelligences. He also discusses what might be called bilateral mind-reading: humans trying to read the minds of artificial intelligences and artificial intelligences trying to read the minds of humans. Lastly, Harris discusses whether super intelligent AI – if it could be created – should be afforded moral consideration, and also how we might convince super intelligent AI that we ourselves should be treated with moral consideration. In this commentary, I discuss these issues brought up by Harris. I focus specifically on robots (rather than AI in general), and I set aside future super intelligent AI to instead focus on more limited forms of AI. I argue that the human tendency to attribute minds even to robots with very limited AI and whether such robots should be given moral consideration are more pressing issues than those that Harris discusses, even though I certainly agree with Harris that the potential for super intelligent AI is a fascinating topic to speculate about.

There has been a long history of arguments over whether happiness is anything more than a particular set of psychological states. On one side, some philosophers have argued that there is not, endorsing a descriptive view of happiness. Affective scientists have also embraced this view and are reaching a near consensus on a definition of happiness as some combination of affect and life-satisfaction. On the other side, some philosophers have maintained an evaluative view of happiness, on which being happy involves living a life that is normatively good. Within the context of this debate we consider how people ordinarily understand happiness, and provide evidence that the ordinary understanding of happiness reflects aspects of both evaluative and descriptive views. Similar to evaluative views, normative judgments have a substantive role in the ordinary understanding of happiness. Yet, similar to descriptive views, the ordinary understanding is focused on the person’s psychological states and not the overall life they actually lived. Combining these two aspects, we argue that the ordinary understanding of happiness suggests a novel view on which happiness consists in experiencing positive psychological states when one ought to. This view, if right, has implications for both philosophical and psychological research on happiness.

Writers like Christine Korsgaard and Allen Wood understand Kant's idea of rational nature as an end in itself as a commitment to a substantive value. This makes it hard for them to explain the supposed equivalence between the universal law and humanity formulations of the categorical imperative, since the former does not appear to assert any substantive value. Nor is it easy for defenders of value-based readings to explain Kant's claim that the law-giving nature of practical reason makes all beings with practical reason regard the idea of a rational nature as an end in itself. This article seeks to replace these value-based readings with a reading of the idea of rational nature as an end that fits better with the overall argument of the Groundwork.

The development of highly humanoid sex robots is on the technological horizon. If sex robots are integrated into the legal community as “electronic persons”, the issue of sexual consent arises, which is essential for legally and morally permissible sexual relations between human persons. This paper explores whether it is conceivable, possible, and desirable that humanoid robots should be designed such that they are capable of consenting to sex. We consider reasons for giving both “no” and “yes” answers to these three questions by examining the concept of consent in general, as well as critiques of its adequacy in the domain of sexual ethics; the relationship between consent and free will; and the relationship between consent and consciousness. Additionally we canvass the most influential existing literature on the ethics of sex with robots.

Philip Pettit has identified some interesting apparent commonalities among core human values like love, friendship, virtue, and respect. These are all, Pettit argues, ‘robustly demanding’: they require us to provide certain benefits across ranges of alternative scenarios. Pettit also suggests a general ‘rationale’ for valuing such goods, which draws on his work on freedom. In this paper, I zoom in on love in particular. I critically assess whether Pettit’s schematic account of love’s value adequately captures what we typically value in valuing love. And I scrutinize the analogy Pettit suggests between the rationale for valuing freedom and his rationale for valuing love. My conclusion is that whereas Pettit’s account of love and its value does not strictly speaking contain false propositions, it ends up being a somewhat skewed account of love’s value. Finally, I bring up some widely discussed aspects of love’s value not captured by Pettit’s account.

Self‐driving cars hold out the promise of being much safer than regular cars. Yet they cannot be 100% safe. Accordingly, we need to think about who should be held responsible when self‐driving cars crash and people are injured or killed. We also need to examine what new ethical obligations might be created for car users by the safety potential of self‐driving cars. The article first considers what lessons might be learned from the growing legal literature on responsibility for crashes with self‐driving cars. Next, worries about responsibility gaps and retribution gaps from the philosophical literature are introduced. This leads to a discussion of whether self‐driving cars are a form of agents that act independently of human agents. It is suggested that it is better to analyze their apparent agency in terms of human–robot collaborations, within which humans play the most important roles. The next topic is the idea that the safety potential of self‐driving cars might create a duty to either switch to self‐driving cars or seek means of making conventional cars safer. Lastly, there is a short discussion of ethical issues related to safe human–robot coordination within mixed traffic featuring both self‐driving cars and conventional cars.

Self‐driving cars hold out the promise of being much safer than regular cars. Yet they cannot be 100% safe. Accordingly, they need to be programmed for how to deal with crash scenarios. Should cars be programmed to always prioritize their owners, to minimize harm, or to respond to crashes on the basis of some other type of principle? The article first discusses whether everyone should have the same “ethics settings.” Next, the oft‐made analogy with the trolley problem is examined. Then follows an assessment of recent empirical work on lay‐people's attitudes about crash algorithms relevant to the ethical issue of crash optimization. Finally, the article discusses what traditional ethical theories such as utilitarianism, Kantianism, virtue ethics, and contractualism imply about how cars should handle crash scenarios. The aim of the article is to provide an overview of the existing literature on these topics and to assess how far the discussion has gotten so far.

The growth of self-tracking and personal surveillance has given rise to the Quantified Self movement. Members of this movement seek to enhance their personal well-being, productivity, and self-actualization through the tracking and gamification of personal data. The technologies that make this possible can also track and gamify aspects of our interpersonal, romantic relationships. Several authors have begun to challenge the ethical and normative implications of this development. In this article, we build upon this work to provide a detailed ethical analysis of the Quantified Relationship. We identify eight core objections to the QR and subject them to critical scrutiny. We argue that although critics raise legitimate concerns, there are ways in which tracking technologies can be used to support and facilitate good relationships. We thus adopt a stance of cautious openness toward this technology and advocate the development of a research agenda for the positive use of QR technologies.

Many ethicists writing about automated systems attribute agency to these systems. Not only that; they seemingly attribute an autonomous or independent form of agency to these machines. This leads some ethicists to worry about responsibility-gaps and retribution-gaps in cases where automated systems harm or kill human beings. In this paper, I consider what sorts of agency it makes sense to attribute to most current forms of automated systems, in particular automated cars and military robots. I argue that whereas it indeed makes sense to attribute different forms of fairly sophisticated agency to these machines, we ought not to regard them as acting on their own, independently of any human beings. Rather, the right way to understand the agency exercised by these machines is in terms of human–robot collaborations, where the humans involved initiate, supervise, and manage the agency of their robotic collaborators. This means, I argue, that there is much less room for justified worries about responsibility-gaps and retribution-gaps than many ethicists think.

It is commonly thought that on Kant’s view of action, ‘everyone always acts on maxims.’ Call this the ‘descriptive reading.’ This reading faces two important problems: first, the idea that people always act on maxims offends against common sense: it clashes with our ordinary ideas about human agency. Second, there are various passages in which Kant says that it is ‘rare’ and ‘admirable’ to firmly adhere to a set of basic principles that we adopt for ourselves. This article offers an alternative: the ‘normative reading.’ On this reading, it is a normative ideal to adopt and act on maxims: it is one of the things Kant thinks we would do if our reason were fully in control of our decision-making.

In this paper, we discuss the ethics of automated driving. More specifically, we discuss responsible human-robot coordination within mixed traffic: i.e. traffic involving both automated cars and conventional human-driven cars. We do three main things. First, we explain key differences in robotic and human agency and expectation-forming mechanisms that are likely to give rise to compatibility-problems in mixed traffic, which may lead to crashes and accidents. Second, we identify three possible solution-strategies for achieving better human-robot coordination within mixed traffic. Third, we identify important ethical challenges raised by each of these three possible strategies for achieving optimized human-robot cordination in this domain. Among other things, we argue that we should not just explore ways of making robotic driving more like human driving. Rather, we ought also to take seriously potential ways of making human driving more like robotic driving. Nor should we assume that complete automation is always the ideal to aim for; in some traffic-situations, the best results may be achieved through human-robot collaboration. Ultimately, our main aim in this paper is to argue that the new field of the ethics of automated driving needs take seriously the ethics of mixed traffic and responsible human-robot coordination.

Iddo Landau understands a meaningful life as a life containing a sufficient number of sufficiently valuable aspects. Do the world's and the human condition's imperfections threaten meaning, thus understood? Landau argues that we can have a sufficient number of sufficiently valuable parts of our lives, even if the world is imperfect and the human condition involves various different imperfections. In this review, we offer some constructive criticisms of Landau's discussion, and we also highlight some of the virtues of his book.