The impact of artificial intelligence on skills at work in Denmark

Holm, Jacob Rubæk; Lorenz, Edward

doi:10.1111/ntwe.12215

Cited by 22 publications

(11 citation statements)

References 30 publications

(31 reference statements)

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“…Holm and Lorenz (2022) also demonstrate that AI's effects on workers depend on how the technology is used in a job (i.e., either by providing orders to human workers or by providing information for human worker decision making) and the skill level of workers. For high‐ and mid‐skilled workers, using AI daily to support decision making can enhance workers' skills by facilitating high‐performance work practices, such as teamwork and job rotation.…”

Section: Resultsmentioning

confidence: 99%

A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice

et al. 2023

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SummaryThe rising use of artificially intelligent (AI) technologies, including generative AI tools, in organizations is undeniable. As these systems become increasingly integrated into organizational practices and processes, understanding their impact on workers' experiences and job designs is critical. However, the ongoing discourse surrounding AI use in the workplace remains divided. Proponents of the technology extol its benefits for enhancing efficiency and productivity, while others voice concerns about the potential harm to human workers. To provide greater clarity on this pressing issue, this article presents a systematic review of empirical research that sheds light on the implications of AI use at work. Organized under five inductively generated themes within a multilevel framework, we uncover individual, group, and organizational factors that shape the interplay between humans and AI. Specifically, the themes are: (1) human–AI collaboration; (2) perceptions of algorithmic and human capabilities; (3) worker attitudes towards AI; (4) AI as a control mechanism in algorithmic management of platform‐based work; and (5) labor market implications of AI use. Our review offers insights into these themes and identifies five pathways for future research. Finally, we provide practical recommendations for organizational leaders seeking to implement AI technologies while prioritizing their employees' well‐being.

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Section: Resultsmentioning

confidence: 99%

A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice

et al. 2023

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“…Implementing a Healthcare 4.0 system requires the careful consideration of process improvement as part of the overall plan to achieve maximum benefits from technology adoption [ 117 ]. In the absence of a strategy that indicates a precise and coherent direction for the evolution of organizational and technological models, it is easy to get lost within an ever-increasing range of technologies, and perhaps end up choosing and introducing advanced digital solutions in an organizational context that is unable to grasp all the advantages to transform the competitive landscape and improve organizational performance [ 52 ].…”

Section: Resultsmentioning

confidence: 99%

“…In fact, software that uses BD efficiently can flag any inconsistencies between a patient’s medical history and their drug allergies with the medications they are taking, thus alerting the referring physician to discontinue therapy. BD can also identify chronically ill citizens, providing them with preventive actions to avoid clogging emergency channels, such as the emergency room [ 117 , 118 , 123 ].…”

Section: Resultsmentioning

confidence: 99%

Towards the Use of Big Data in Healthcare: A Literature Review

et al. 2022

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The interest in new and more advanced technological solutions is paving the way for the diffusion of innovative and revolutionary applications in healthcare organizations. The application of an artificial intelligence system to medical research has the potential to move toward highly advanced e-Health. This analysis aims to explore the main areas of application of big data in healthcare, as well as the restructuring of the technological infrastructure and the integration of traditional data analytical tools and techniques with an elaborate computational technology that is able to enhance and extract useful information for decision-making. We conducted a literature review using the Scopus database over the period 2010–2020. The article selection process involved five steps: the planning and identification of studies, the evaluation of articles, the extraction of results, the summary, and the dissemination of the audit results. We included 93 documents. Our results suggest that effective and patient-centered care cannot disregard the acquisition, management, and analysis of a huge volume and variety of health data. In this way, an immediate and more effective diagnosis could be possible while maximizing healthcare resources. Deriving the benefits associated with digitization and technological innovation, however, requires the restructuring of traditional operational and strategic processes, and the acquisition of new skills.

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“…Moreover, the impact of AI varies according to the skill level of the job. For example, Holm and Lorenz (2022) found that using AI to support decision-making in high-skill jobs can lead to less autonomy but also a faster pace of work, less monotony, more learning, and greater use of a range of high-performance work practices. In middle-skilled jobs, the impact of using AI to make decisions is similar, albeit to a lesser extent, while using AI to give instructions leads to a faster pace of work, greater autonomy, and less learning.…”

Section: 2020)mentioning

confidence: 99%

The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations

et al. 2023

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Aim/Purpose: This paper aims to investigate the recent developments in research and practice on the transformation of professional skills by artificial intelligence (AI) and to identify solutions to the challenges that arise. Background: The implementation of AI in various organisational sectors has the potential to automate tasks that are currently performed by humans or to reduce cognitive workload. While this can lead to increased productivity and efficiency, these rapid changes have significant implications for organisations and workers, as AI can also be perceived as leading to job losses. Successfully adapting to this transformation will lead companies and institutions to new working and organisational models, which requires implementing measures and strategies to upskill or reskill workers. Organisations, therefore, face considerable challenges such as guiding employees towards the change process, dealing with the cost of training, and ensuring fairness and inclusion posed by age, gender, and cultural diversity. Methodology: A narrative review has been conducted to analyse research and practice on the impact of AI on human skills in organisations. Contribution: This work contributes to the body of knowledge by examining recent trends in research and practice on how AI will transform professional skills and workplaces, highlighting the crucial role played by transversal skills and identifying strategies that can support organisations and guide workers toward the upskilling and reskilling challenges. Findings: This work found that introducing AI in organisations combines many organisational strategies simultaneously. First, it is critical to map the transversal skills needed by workers to mitigate the current skills gap within the workplace. Secondly, organisations can help workers identify the skills required for AI adoption, improve current skills, and develop new skills. In addition, the findings show that companies need to implement processes to support workers by providing ad hoc training and development opportunities to ensure that workers’ attitudes and mental models towards AI are open and ready for the changing labour market and its related challenges. Recommendation for Researchers: AI is a complex and multifaceted field that encompasses a wide range of disciplines, including computer science, mathematics, engineering, and behavioural and social sciences. Researchers should take a transdisciplinary approach to enable the integration of knowledge and perspectives from different fields that are essential to understanding the full range of implications and applications of AI. Future Research: Further research is needed to understand the impact of AI on human skills and the role of soft skills in the adoption of AI in organisations. Future studies should also consider the challenges presented by Industry 5.0, which is likely to involve the integration of new technologies and automation on an even greater scale.

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The impact of artificial intelligence on skills at work in Denmark

Cited by 22 publications

References 30 publications

A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice

A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice

Towards the Use of Big Data in Healthcare: A Literature Review

The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations

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