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)

The scholarship on meaningful work has approached the topic mostly from the perspective of the subjective experience of the individual worker. This has led the literature to under-theorize, if not outright ignore, the cultural and normative dimension of meaningful work. In particular, it has obscured that a person’s ability to find meaning in her life in general, and her work in particular, is typically anchored and dependent on shared institutions and cultural aspirations. Reflecting on the future of work, particularly on (...) the dangers posed by the threat of technological unemployment, helps us recognize this cultural and normative dimension of meaningful work. I argue that a world with few work opportunities is a world devoid of a core structuring ideal around which our society has organized itself and, as such, will strain our ability to make sense of what it means to find life meaningful. To make this case I show that work operates as a central organizing _telos_ around which our contemporary lives gravitate. Work touches everyone and everything, defining the rhythms of our days and weeks and providing a center of gravity around which our lives are structured. Work constitutes a central dimension of human flourishing. Through work we provide for our material needs, develop our skills and virtues, build community, and contribute to the common good. As such, work constitutes a central organizing ideal in contemporary Western societies, a fact has significant normative force and plays an important role in our finding work meaningful. (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)

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)

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)

The main research question that this paper aims to answer is: ‘In what does today’s attack on humanities consist and how can humanities be defended?’ In order to answer this research question, one needs first to describe how the humanities have argued for their usefulness before the Bologna Process; second, provide reasons for the claim that the Bologna Process would be a new type of attack; and third, analyse the new defences for the humanities, so as to discuss whether these (...) are suitable. The main finding of this study was to show that, before deciding what type of education society needs, we need to understand who we are educating through our universities. Taking a stance on “who should we educate?” is prior to being able to judge educational policies. This decision requires a previous justification that requires arguments taken from the field of social justice: Who needs to be educated and who has the right to be educated? Furthermore, we have seen that all answers we have examined to the question underlying educational policies, i.e. ‘who is being educated?’, were linked at some level with the citizenship issue. By defining who is a full citizen, an answer to the question who had the right to a humanistic education was implicitly answered. Nussbaum’s project to universalise the definition of democratic citizenship would ensure a basis for providing humanistic education for all. Such a line of arguing would provide humanities to the well-regarded status they had starting from the Renaissance times, but this time not as a device for exclusion, but inclusion for all. We have tried to show that, by defending the humanities, one defends the idea of a plurality of educational purposes, the right to build one’s life based on an education that is not submitted to the political goals of the day, ultimately the right to have a dissenting voice and a different perspective on life. By defending humanities, one defends the true ‘usefulness’ of education, namely its potential for constructing democratic citizenship for all. (shrink)