Generative AI technologies have the potential to be socially and politically transformative. In this paper, we focus on exploring the potential impacts that Generative AI could have on the functioning of our democracies and the nature of citizenship. We do so by drawing on accounts of deliberative democracy and the deliberative virtues associated with it, as well as the reciprocal impacts that social media and Generative AI will have on each other and the broader information landscape. Drawing on this background (...) theory, we outline some of the key positive and negative impacts that Generative AI is likely to have on democratic citizenship. The political significance of these impacts suggests the need for further regulation. (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)

This paper provides a philosophically informed and robust account of the global justice implications of Artificial Intelligence (AI). We first discuss some of the key theories of global justice, before justifying our focus on the Capabilities Approach as a useful framework for understanding the context-specific impacts of AI on lowto middle-income countries. We then highlight some of the harms and burdens facing low- to middle-income countries within the context of both AI use and the AI supply chain, by analyzing the (...) extraction of materials, which includes mineral extraction and the environmental harms associated with it, and the extraction of labor, which includes unethical labor practices, low wages, and the trauma experienced by some AI workers. We then outline some of the potential harms and benefits that AI poses, how these are distributed, and what global justice implications this has for low- to middle-income countries. Finally, we articulate the global justice significance of AI by utilizing the Capabilities Approach. We argue that AI must be considered from a global justice perspective given that, globally, AI puts significant downward pressure on several elements of well-being thereby making it harder for people to achieve threshold levels of the central human capabilities needed for a life of dignity. (shrink)

This article seeks to challenge existing understandings of good work. It does so through a critical exploration of recognitive and craft conceptions of work, which are among the richest and most philosophically nuanced of extant accounts. The recognitive view emphasises work’s recognitive value through the social esteem derived from making a valuable social contribution. But by making recognition foundational, it is unable to appreciate the irreducible ethical significance of the objective quality of one’s work activity. The ‘craft ideal’, by contrast, (...) promises to provide a powerful basis for understanding the importance of rich, rewarding, and morally educative activities, but is undermined by a laudable but misdirected egalitarian impulse which prevents it from being able to properly distinguish good from bad work. One underlying aim of our discussion is to provoke deeper reflection from business ethicists regarding what we might want from an account of good work. (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)

The burden of research ethics review falls not just on researchers, but on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence, it has recently become possible to teach models to support human judgment, for example by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight. This commentary argues that with (...) a suitable strategy of engagement, artificial intelligence can be used in a variety of ways that can genuinely support RECs and manage their workload and improve the quality of review. It would be wiser to take an active role in the development of AI tools for ethics review, rather than to adopt ad hoc tools after the fact. (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)

Biometric technologies are at the forefront of organizational innovation, surveillance, and control. In many instances, the use of physiological and behavioral biometrics enhances individual and organizational performance. However, they also have the potential to hinder human wellbeing. In particular, recent generations of biometrics are capable of extracting deeper insights into human behavior, enabling organizational surveillance practices, but may also constrain individual rights and freedoms. While biometric technologies have been evidenced to infringe upon privacy and lead to discriminatory practices, little research (...) has examined the impact of biometrics on dignity, an important ethical construct related to human wellbeing. In this conceptual paper, we draw from the theory of affordances to identify and delineate six affordances of biometric technologies, categorized into inhibiting and augmenting biometric affordances. We propose a framework in which inhibiting and augmenting biometric affordances may simultaneously support and humiliate dignity. This separation offers a theoretical base for future empirical research to explore the increasingly pervasive relationship between biometric adoption and human dignity. Moreover, we explain six paradoxical tensions across three forms of dignity—inherent, behavioral, and meritocratic—in the proposed framework. Finally, we discuss why firms should be responsible for addressing the tensions across dignity forms when they adopt biometric technologies to balance the trade-off between wealth creation and human wellbeing. This offers guidance for practitioners on how to integrate biometric technologies without hindering human dignity. (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)

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)