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)

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)

A recent wave of academic and popular publications say that utopia is within reach: Automation will progress to such an extent and include so many high-skill tasks that much human work will soon become superfluous. The gains from this highly automated economy, authors suggest, could be used to fund a universal basic income (UBI). Today's employees would live off the robots' products and spend their days on intrinsically valuable pursuits. I argue that this prediction is unlikely to come true. Historical (...) precedent speaks against it, but the main problem is that the prediction fundamentally misunderstands how capitalism works—its incentives to increase or decrease production, its principles of income allocation, and the underlying conception of merit. (shrink)

The article deals with the question whether an unconditional basic income is part of an ideal liberal-egalitarian welfare regime. Analyzing UBI from an ideal-theoretical perspective requires a comparison of the justice performance of ideal welfare regimes instead of comparing isolated institutional designs. This holistic perspective allows for a more systematic consideration of issues like institutional complementarity. I compare three potential ideal welfare regimes from a liberal-egalitarian perspective of justice: An ideal social democratic regime, a mixed regime containing a moderate UBI (...) and a maximal UBI regime where UBI replaces most of the welfare state. These regimes are evaluated with respect to three aspects of justice performance: the scope and neutrality of opportunities provided, institutional complementarities with a dynamic, globalized economy and the policy feedback effects on the political stability of liberal-egalitarian political coalitions. I conclude that the overall performance of a mixed regime is superior to the other regimes. (shrink)

This article explores the experiences of employed and unemployed Ontario Basic Income recipients in the Hamilton and Brantford pilot site. Integrating data from surveys and interviews, the self-reported outcomes of both groups are summarized. These outcomes pertain to employment, physical health, mental health, use of health services, food security, housing stability, financial well-being and social activities. The article highlights the difference in the degree of improvements between recipients who were working before and during the pilot versus those who were not (...) employed at both times. Its broad conclusion is that both groups reported significant benefits, but it was recipients who were continuously employed that reported the greatest improvements. This suggests that basic income could be an important policy tool to improve the lives of low-income and precarious workers in Ontario and perhaps elsewhere. (shrink)

Media exposure can shape audience perceptions surrounding novel innovations, such as artificial intelligence (AI), and could influence whether they share information about AI with others online. This study examines the indirect association between exposure to AI in the media and information sharing about AI online. We surveyed 567 US citizens aged 18 and older in November 2020, several months after the release of Open AI’s transformative GPT-3 model. Results suggest that AI media exposure was related to online information sharing through (...) psychological proximity to the impacts of AI and positive AI performance expectancy in serial mediation. This positive indirect association became stronger the more an individual perceived society to be changing due to new technology. Results imply that public exposure to AI in the media could significantly impact public understanding of AI, and prompt further information sharing online. (shrink)