Automation, Labour Justice, and Equality

Celentano, Denise

doi:10.1080/17496535.2018.1512141

Cited by 24 publications

(5 citation statements)

References 31 publications

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“…However, in a strongly automated environment with high technological unemployment, people might see the deservingness of the unemployed differently. It has been argued that ‘what is unfair in automation is that it threatens people's livelihoods and jeopardises their economic security’ (Celentano, 2019, p. 33).…”

Section: The Future Labour Market and Arguments For And Against Ubi I...mentioning

confidence: 99%

“…What are the similarities and differences between respondents' arguments and experts' views? Young people's attitudes are especially relevant in the context of the future, as they will live in the 'future-of-work' (Hill et al, 2019), while the highly educated segment of this population with master's degrees will probably be in a better position than many other segments of society (Celentano, 2019). It is thus interesting to see how members of a group that are more likely to be in a better labour position in the future than most, and therefore will not be personally interested, regard UBI as a solution for technological unemployment.…”

Section: Introductionmentioning

confidence: 99%

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The attitudes of young citizens in higher education towards universal basic income in the context of automation—A qualitative study

Herke

Vicsek

2022

Int J Soc Welfare

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One of the primary reasons for introducing the discussion about universal basic income (UBI) into political debate was to understand whether UBI could serve a good response to the negative consequences of technology-driven job replacement. It is also a question whether citizens would accept UBI. Based on 30 interviews with Hungarian university students, we investigate the attitudes of young citizens to the introduction of UBI in a hypothetical scenario, situated in 2060, when technological unemployment is high. Interviewees expressed optimistic views about the future labour market and dismissed the scenario, preferring the option of job-creation. Students claimed that people would become useless members of society by not working, which argument echoes the Hungarian government's discourse about the need for work-based society.Students also stressed that work gives meaning to life. These narratives show a traditional understanding of work that might inhibit advocates from increasing social support for UBI. K E Y W O R D S automation, Hungary, interviews, universal basic income, welfare attitudes, work values, young citizens Key Practitioner Message • Advocates of universal basic income (UBI) might face barriers because of widespread optimism about the future labour market and the traditional understanding of work • Valorising caring, volunteering, and studying as socially useful activities seems inevitable for increasing public support for UBI • Students were not aware of many arguments of UBI advocates, highlighting the need to more effectively communicate arguments regarding the advantages and disadvantages of introducing UBI Abbreviations: UBI, universal basic income.

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Section: The Future Labour Market and Arguments For And Against Ubi I...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The attitudes of young citizens in higher education towards universal basic income in the context of automation—A qualitative study

Herke

Vicsek

2022

Int J Soc Welfare

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“…(2020), conducting fieldwork with data annotation companies in Argentina and Bulgaria, demonstrate how the work of data annotators is often fulfilled by poorly paid workers. Researchers have questioned whether these interstitial tasks, filling the gaps in AI production, will be left to low-skilled and low-income workers (Celentano, 2019; Tubaro and Casilli, 2019). Platform interfaces, between vendors and data workers, in particular enable ‘entrepreneurs to imagine workers in a better place than they actually are’ (Gruszka and Böhm, 2020: 4).…”

Section: The Invisible Backstage Of Ai Productionmentioning

confidence: 99%

Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service

Newlands

2021

Big Data & Society

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Artificial Intelligence-as-a-Service (AIaaS) empowers individuals and organisations to access AI on-demand, in either tailored or ‘off-the-shelf’ forms. However, institutional separation between development, training and deployment can lead to critical opacities, such as obscuring the level of human effort necessary to produce and train AI services. Information about how, where, and for whom AI services have been produced are valuable secrets, which vendors strategically disclose to clients depending on commercial interests. This article provides a critical analysis of how AIaaS vendors manipulate the visibility of human labour in AI production based on whether the vendor relies on paid or unpaid labour to fill interstitial gaps. Where vendors are able to occlude human labour in the organisational ‘backstage,’ such as in data preparation, validation or impersonation, they do so regularly, further contributing to ongoing techno-utopian narratives of AI hype. Yet, when vendors must co-produce the AI service with the client, such as through localised AI training, they must ‘lift the curtain’, resulting in a paradoxical situation of needing to both perpetuate dominant AI hype narratives while emphasising AI’s mundane limitations.

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“…Moreover, futuristic pronouncements that imply technology is a means through which personal autonomy and self-care can be achieved do not often consider care as a social relationship that perpetuates inequalities (MacLeavy & Lapworth, 2019). In favouring a disembodied, disembedded imaginary, they circumscribe cultural expectations of women's affective care and dexterity, as well as the manner in which this patterns labour markets (Celentano, 2019).…”

Section: Women Work and The Emergent 'Care Crisis'mentioning

confidence: 99%

Care work, gender inequality and technological advancement in the age of COVID‐19

MacLeavy

2020

Gender Work & Organization

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COVID-19 has created a challenge and opportunity to change collective economic and care systems. While the care deficit that confronts the UK pre-dates the pandemic, contemporary events have made it clear that care is a foundational element of a safe, functioning society. Building on research that shows new technologies are being used to augment the work of paid carers in nations facing labour shortages, funding constraints and hostility to immigration, this article considers the potential for technological developments to change care practices, including during this unprecedented crisis. Using a qualitative research approach, the article opens up new questions about established systems of paid and unpaid care and evaluates the potential for technological investments to remedy the weakened care infrastructure in a post-COVID-19 environment. In doing so, it emphasizes the sensory dimensions of care, which will need to be addressed in how governments in the UK and beyond respond to technological developments.

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Automation, Labour Justice, and Equality

Cited by 24 publications

References 31 publications

The attitudes of young citizens in higher education towards universal basic income in the context of automation—A qualitative study

The attitudes of young citizens in higher education towards universal basic income in the context of automation—A qualitative study

Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service

Care work, gender inequality and technological advancement in the age of COVID‐19

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