Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific (...) motivational settings that constitute the very precondition for ethical decision making in the AI field. Moreover, it defines two “second-order AI virtues”, prudence and fortitude, that bolster achieving the basic virtues by helping with overcoming bounded ethicality or hidden psychological forces that can impair ethical decision making and that are hitherto disregarded in AI ethics. Lastly, the paper describes measures for successfully cultivating the mentioned virtues in organizations dealing with AI research and development. (shrink)

Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...) I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved. (shrink)

The sharing economy has been examined from many angles, including the engagement of customers, the capabilities of the technological platforms, and the experiences of those who sell products or services. We focus on labor in the sharing economy. Labor has been regarded as one type of asset exchanged in the sharing economy, as part of the customer interface when services are sold, or as a party vulnerable to exploitation. We focus on labor as a position in relationship to owners of (...) capital. While new typologies to characterize the sharing economy are emerging, we argue that a well-established framework that has been applied across historic types of work arrangements can offer a robust analysis of enduring and new labor issues. We draw upon labor process theory from early formulations to recent applications to guide an analysis appropriate to the sharing economy. We use both central and less explored concepts from LPT and use Uber as a case to illustrate application of the framework. By considering labor, capital, and the power dynamics between them, we draw attention to unequal exchange and distributive justice, fundamental for taking a business ethics approach to labor in the sharing economy. (shrink)

This article contributes to the debate on automation and justice by discussing two under-represented concerns: labour justice and equality. Since automation involves both winners and losers, and given that there is no ‘end of work’ on the horizon, it is argued that most normative views on the subject – i.e. the ‘allocative’ view of basic income, and the ‘desirability’ views of post-work and workist ethics – do not provide many resources with which to address unjustly unequal divisions of labour involved (...) in technological innovation. This article problematises these common responses reframing the problem from the perspective of labour justice. While the allocative view assumes that labour justice follows ‘spontaneously’ from income redistribution, the desirability views are chiefly interested in either defining or contesting the meanings of work for individuals, overlooking the interdependent nature of work and concerns of equality other than autonomy. Two conceptions of labour justice are thus applied to the problem: Paul Gomberg’s contributive justice, and Iris Young’s democratic division of labour. Instead of deciding between them, the normative core of ‘contributive parity’ is suggested as a critical standard for assessing unequal labour structures, and for envisaging a future in which technology can be an ally in making social cooperation fair. (shrink)

Digital platforms and application software have changed how people work in a range of industries. Empirical studies of the gig economy have raised concerns about new systems of algorithmic management exercised over workers and how these alter the structural conditions of their work. Drawing on the republican literature, we offer a theoretical account of algorithmic domination and a framework for understanding how it can be applied to ride hail and food delivery services in the on-demand economy. We argue that certain (...) algorithms can facilitate new relationships of domination by sustaining a socio-technical system in which the owners and managers of a company dominate workers. This analysis has implications for the growing use of algorithms throughout the gig economy and broader labor market. (shrink)

Digital sweatshops represent exploitative digital workplaces where individuals are compelled to work long hours under high demands for minimal compensation. This study employs in-depth, semi-structured interviews with digital workers to explore digital sweatshop operations’ challenges and adverse aspects, mainly focusing on ethical considerations. The collected data were transcribed and analyzed using grounded theory methodology. The findings highlight three key themes: conditions mitigating factors, organisational factors, and work environment factors, all of which contribute to the persistence of digital sweatshops. The study (...) advocates for comprehensive labour laws, education and advocacy for digital employees, mental health support, transparency and accountability, skill development, career advancement, and ethical business practices. These recommendations are intended to help governments and organizations create a fair and ethical digital workplace, prioritizing workers’ rights and well-being. (shrink)

This paper explores how consumers’ ethical food consumption practices, mediated by mobile phone applications (apps), are transformed into digital data. Based on a review of studies on the digitalization of ethical consumption practices and food apps, we find that previous research, while valuable, fails to acknowledge and critically examine the digital labor required to perform digitalized ethical food consumption. In this paper, we call for research on how digital labor underlies the digitalization of ethical food consumption and develop a conceptual (...) framework that supports this research agenda. Our proposed conceptual framework builds on three interconnected analytical concepts—datafication, affordances and digital labor—that enable the study of digital labor as an infrastructural element of digitalized food consumption. We illustrate our conceptual framework through our previous research concerning Buycott, a US-based mobile app whose stated aim is to facilitate consumers’ ethical purchasing decisions. Using the walkthrough method, we consider how the Buycott app engages user-generated data and what implications this holds for consumers. The app’s infrastructure, we suggest, connects ethical consumption and digital labor. A richer understanding of the digital food economy, we propose, enables social scientists not only to elucidate how consumers engage in digital labor, but also to contribute to the development of new data governance structures in the digital food economy. We therefore call for social scientists interested in food, consumption and the digital economy to contribute to a new research agenda for studying everyday food digitalization by empirically examining how ethical consumption apps implicate ethical consumers’ work. (shrink)