Search

This study explores the relation between risk of job automation and participation in adult education and training (AET) and examines variation in that relation across welfare regimes distinguishing between situational and institutional barriers. Using microdata of PIAAC, we analyze participation in formal or nonformal AET for job-related reasons in relation to the risk of automation of the respondents' occupation after controlling for main sociodemographic characteristics. Logistic regression models are run on respondents from 14 European countries representing different welfare regimes: Denmark, Norway, and Sweden (Scandinavian countries); Italy, Greece, and Spain (Southern European); Czech Republic, Slovakia, and Poland (Central and Eastern Europe), Belgium, France, and Germany (Continental); and United Kingdom and Ireland (Anglo-Saxon countries). Our findings confirm that workers in occupations at high risk of automation were found to be consistently less likely to participate in job-related AET, quite irrespective of welfare regime. [The paper was presented at XIII Conferenza Espanet Italia--Il welfare state di fronte alle sfide globali (Venezia, 17 September 2020).]

Purpose: The purpose of this paper is to focus on a designed research methodology to distil existing research findings from an esrc/ahrc funded japan/uk network on location-based virtual reality experiences for children in order to generate new knowledge. Design/methodology/approach: The structured co-production methodology was undertaken in three stages. These were: (1) a collaborative workshop which produced a series of collage narratives, (2) collaborating with a non-human entity in the form of a digital coded tool to reconfigure the workshop responses and mediate the hierarchy of roles, (3) the co-production of a zine as a collaborative reflection method, which shared via postal service enabled a dialogue and exchange of round Robin interventions by the network members. Findings: The analysis of the data collected in this study highlighted five themes that could be used by other researchers on a wide range of projects. These were: (1) knowing through making, (2) the importance of process, (3) beyond linear representations, (4) agency of physical materials and (5) agency of digital code. Research limitations/implications: The context of the study being undertaken during the first phase of the global pandemic, revealed insight into a method of co-production that was undertaken under emergency remote working conditions. The knowledge generated from this can be applied to other research contexts such as working with researchers or participants across global borders without the need to travel. Originality/value: The research provides an innovative rethinking of co-production methods in order to generate new knowledge from multidisciplinary and multimodal research.

AI and other forms of automation are causing a shift into a more capital-intensive form of capitalism. Many scholars have suggested that we can best understand this process as the cost-efficient substitution of labour by capital in routine tasks based on relative factor costs. However, this model, which has cast firms as endlessly chasing the productivity frontier, has not paid sufficient attention to cross-national divergences in technological changes. This paper builds a comparative historical case study tracing the divergent introduction of credit scoring in British and German bank branches to argue that the introduction of credit scoring was a result of a policy-led process in both countries. Increased liberalisation of financial market institutions benefitted the rise of market-led banking which fundamentally changed the business model of banks resulting in a devaluation of the services provided by branch managers. This case suggests we need to think about the role of politics and policy within our, often deterministic, models of labour-saving technological change. [ABSTRACT FROM AUTHOR]

In the United Kingdom and further afield, policy discourse has focused on the efficiencies technology will afford the care sector by increasing workforce capacity at a time when there are recruitment and retention issues. Previous research has explored the impact of telecare and other technologies on roles within the care sector, but issues related to job quality and the consequences of newer digital technologies that are increasingly being deployed in care settings are under researched. Through an exploration of the literature on robotics and empirical studies of telecare and mainstream 'smart' digital technology use in UK adult social care, this paper examines how these technologies are generating new forms of work and their implications for job quality, arguing the tendency to prioritise technology results in the creation 'machine babysitters' and 'fauxtomatons'. [ABSTRACT FROM AUTHOR]

In this paper, we examine how robot adoption and Chinese import competition shaped employment patterns in 352 cities across the United Kingdom. We find that cities whose initial industry composition exposed them to industrial robots and China's integration into the world economy experienced significant employment declines. When pitched against other capital and technologies, the impact of robots remains distinct. Our findings suggest that one more robot per thousand workers reduced the employment-to-population ratio by 0.5 percentage points, while an increase of $1,000 imports from China per worker reduced the employment-to-population ratio by 0.11 percentage points. We also show that while these are sizable effects, penetration of both robots and Chinese imports are too small to account for Brexit. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic generated a series of profound and unprecedented challenges for health and social care systems and those frontline clinicians responsible for delivering services including nurses. One consequence has been the rapid and widespread introduction of a range of digital tools, solutions, and initiatives. In the United Kingdom, this has required clinical leadership to drive implementation and adoption of digital innovations across the system, ranging from those in senior executive board level positions to those on the frontline. Findings: This commentary presents a framework highlighting the breadth of digital transformations which emerged as a consequence of the U.K. health and social care systems' response to the COVID-19 crisis. The framework outlines the different levels of digital transformation, ranging from what we have termed "ceremonial adoption" to isolated automation, organizational integration, and full systems integration. We reflect on the nursing leadership practices that need to be in place to support these changes. Conclusion: Whilst acknowledging the extraordinary results achieved by the COVID-19 driven tsunami of digital transformation, we reflect on the essential steps required to translate these nascent, isolated efforts into fully integrated, long-term solutions. We also offer recommendations for clinical digital leaders and suggest steps that will be crucial to translate the temporary and/or limited interventions into effective, permanent features of our health and social care systems, while also providing a platform on which to build future digital capabilities. We will inevitably continue to see an increase in the use of technology in everyday clinical practice, and nurses are well positioned to take a lead in its widespread adoption. [ABSTRACT FROM AUTHOR]

The future of work has become a prominent topic for research and policy debate. However, the debate has focused entirely on paid work, even though people in industrialized countries on average spend comparable amounts of time on unpaid work. The objectives of this study are therefore (1) to expand the future of work debate to unpaid domestic work and (2) to critique the main methodology used in previous studies. To these ends, we conducted a forecasting exercise in which 65 AI experts from the UK and Japan estimated how automatable are 17 housework and care work tasks. Unlike previous studies, we applied a sociological approach that considers how experts' diverse backgrounds might shape their estimates. On average our experts predicted that 39 percent of the time spent on a domestic task will be automatable within ten years. Japanese male experts were notably pessimistic about the potentials of domestic automation, a result we interpret through gender disparities in the Japanese household. Our contributions are providing the first quantitative estimates concerning the future of unpaid work and demonstrating how such predictions are socially contingent, with implications to forecasting methodology. [ABSTRACT FROM AUTHOR]

Clinical coding is the task of transforming medical information in a patient's health records into structured codes so that they can be used for statistical analysis. This is a cognitive and time-consuming task that follows a standard process in order to achieve a high level of consistency. Clinical coding could potentially be supported by an automated system to improve the efficiency and accuracy of the process. We introduce the idea of automated clinical coding and summarise its challenges from the perspective of Artificial Intelligence (AI) and Natural Language Processing (NLP), based on the literature, our project experience over the past two and half years (late 2019–early 2022), and discussions with clinical coding experts in Scotland and the UK. Our research reveals the gaps between the current deep learning-based approach applied to clinical coding and the need for explainability and consistency in real-world practice. Knowledge-based methods that represent and reason the standard, explainable process of a task may need to be incorporated into deep learning-based methods for clinical coding. Automated clinical coding is a promising task for AI, despite the technical and organisational challenges. Coders are needed to be involved in the development process. There is much to achieve to develop and deploy an AI-based automated system to support coding in the next five years and beyond. [ABSTRACT FROM AUTHOR]

Objective Conventional scoring methods for radiographic hip OA (rHOA) are subjective and show inconsistent relationships with clinical outcomes. To provide a more objective rHOA scoring method, we aimed to develop a semi-automated classifier based on DXA images and confirm its relationships with clinical outcomes. Methods Hip DXAs in UK Biobank (UKB) were marked up for osteophyte area from which acetabular, superior and inferior femoral head osteophyte grades were derived. Joint space narrowing (JSN) grade was obtained automatically from minimum joint space width (mJSW) measures. Clinical outcomes related to rHOA comprised hip pain, hospital diagnosed OA (HES OA) and total hip replacement. Logistic regression and Cox proportional hazard modelling were used to examine associations between overall rHOA grade (0–4; derived from combining osteophyte and JSN grades) and the clinical outcomes. Results A toal of 40 340 individuals were included in the study (mean age 63.7), of whom 81.2% had no evidence of rHOA, while 18.8% had grade ≥1 rHOA. Grade ≥1 osteophytes at each location and JSN were associated with hip pain, HES OA and total hip replacement. Associations with all three clinical outcomes increased progressively according to rHOA grade, with grade 4 rHOA and total hip replacement showing the strongest association [57.70 (38.08–87.44)]. Conclusions Our novel semi-automated tool provides a useful means for classifying rHOA on hip DXAs, given its strong and progressive relationships with clinical outcomes. These findings suggest DXA scanning can be used to classify rHOA in large DXA-based cohort studies supporting further research, with the future potential for population-based screening. [ABSTRACT FROM AUTHOR]

Technological advancement is seen as one way of sustainably intensifying agriculture. Scholars argue that innovation needs to be responsible, but it is difficult to anticipate the consequences of the 'fourth agricultural revolution' without a clear sense of which technologies are included and excluded. The major aims of this article were to investigate which technologies are being associated with the fourth agricultural revolution, as well as to understand how this revolution is being perceived, whether positive or negative consequences are given equal attention, and what type of impacts are anticipated. To this end, we undertook a content analysis of UK media and policy documents alongside interviews of farmers and advisers. We found that the fourth agricultural revolution is associated with emergent, game‐changing technologies, at least in media and policy documents. In these sources, the benefits to productivity and the environment were prioritised with less attention to social consequences, but impacts were overwhelmingly presented positively. Farmers and advisers experienced many benefits of technologies and some predicted higher‐tech futures. It was clear, however, that technologies create a number of negative consequences. We reflect on these findings and provide advice to policy‐makers about how to interrogate the benefits, opportunities, and risks afforded by agricultural technologies. [ABSTRACT FROM AUTHOR]

This article analyses how the impacts of AI technologies on creative work have been identified and constructed. The concept of imaginaries is used as a methodological and analytical approach to analyse a variety of grey literature sources published in the UK. The analysis highlights three interconnecting risk imaginaries in which creative occupations are differentiated from other occupations - they are safe and/or are being complemented, but are not being replaced by automation. The construction and implications of these imaginaries are questioned in two ways. Firstly, the concept of assemblages highlights the everyday role of AI technologies in creative production. Secondly, analysis of portfolio working and multiple job holding problematises the notion of safe creative occupations. This article argues that the relationship between AI technologies and creative work can be partly understood as enhancing creative production and the opportunities for creative work, and partly understood in terms of uncreative production and non-creative work. [ABSTRACT FROM AUTHOR]

The 'big four' firm hopes the new technology will make client service more efficient, while Pinsent Masons has appointed a new tax head in Dublin [ABSTRACT FROM AUTHOR]