Artificial Intelligence at Work: An Overview of the Literature

Özkiziltan, Didem; Hassel, Anke

doi:10.2139/ssrn.3796746

Cited by 9 publications

(11 citation statements)

References 51 publications

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“…They provide several interesting measures that indicate that ICT diffusion is particularly advanced in the Netherlands, Sweden, Denmark, and the United Kingdom. Even though extremely important to understand the future of technological change, the adoption of artificial intelligence has not yet occurred on a large scale and is still difficult to assess empirically in a comparative manner (for an excellent overview, see Özkiziltan and Hassel 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Although there is little doubt that rapid technological progress has far-reaching economic, social, and political consequences, we know little about politically viable and effective policies governments can implement to help workers and communities adapt to a rapidly shifting economic landscape. Since there are already excellent reviews on the economic and political consequences of technological change (for example, see Özkiziltan and Hassel 2020;Özkiziltan and Hassel 2021;Gallego and Kurer 2022), the objective of this paper is not to examine the economic implications of technological change and its downstream political ramifications on political participation, policy preferences, and vote choice. This paper instead focuses on how public policies might mitigate some of the detrimental consequences of technological change on labor.…”

Section: Introductionmentioning

confidence: 99%

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Policy Responses to Technological Change in the Workplace

Bürgisser¹

2023

Preprint

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The rise of new technologies has been a defining feature of advanced capitalist countries over the last decades, reigniting concerns about the future of work, rising inequality, and technological unemployment. While there is little doubt that rapid technological progress has far-reaching economic, social, and political consequences, little is known about viable and effective policies governments can implement to assist workers and communities in adjusting to a fast-changing economic landscape and rising labor market insecurity. This paper focuses on the ability of public policies to moderate technology-induced labor market vulnerability and its well-documented political downstream consequences. First, I suggest to theoretically classify policy responses according to their intended goal into a three-fold typology, distinguishing between investment, steering, and compensation policies. After that, I provide a detailed discussion of the current state of the empirical literature on how such policy responses affect workers coping with technological change. In the last section, I discuss to what extent these findings can guide the adoption of policies to help workers adapt to technological change and point out potential avenues for future research.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Policy Responses to Technological Change in the Workplace

Bürgisser¹

2023

Preprint

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“…Thus, AI on its own does not revolutionise societies, but in interaction with other tools (such as powerful computers, the internet and platforms) it can have an enormous impact on the way we live and work. AI lacks an official standard definition and available definitions in the literature are highly varied (Özkiziltan and Hassel, 2021). One useful definition refers to AI as the ‘systems that use ML (machine learning), a sub-discipline of AI, trained on large corpora of data to make predictions and determine actions’ (Zysman and Nitzberg, 2020: 5).…”

Section: Ai As a Technology And Its Application In The World Of Workmentioning

confidence: 99%

“…These investments in AI and AI’s increasing utilisation raise questions about the impact on societies, business and the world of work. While some aspects of this debate emphasise the potential of AI as a fast track towards the digital economy, others are more concerned about AI’s wider repercussions for society (Özkiziltan and Hassel, 2021).…”

Section: Introductionmentioning

confidence: 99%

Governing the work-related risks of AI: implications for the German government and trade unions

Hassel

Özkiziltan

2023

Transfer: European Review of Labour and Research

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This article discusses the risks that artificial intelligence (AI) poses for work. It classifies risks into two types, direct and indirect. Direct risks are AI-induced forms of discrimination, surveillance and information asymmetries at work. Indirect risks are enhanced workplace automation and the increasing ‘fissurisation’ of work. Direct and indirect risks are illustrated using the example of the transport and logistics sector. We discuss policy responses to both types of risk in the context of the German economy and argue that the policy solutions need to differ according to the type of risk. Direct risks can be addressed by European and national regulation against discrimination, surveillance and information asymmetries. As for indirect risks, the first step is to monitor the risks so as to gain an understanding of sector-specific transformations and establish relevant expertise and competence. This way of addressing AI-induced risks at work will help to improve the prospects of decent work, fair remuneration and adequate social protection for all.

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“…Many authors highlight the role of digital transformation in terms of penetration of IT skills in many professions (Alekseeva et al , 2021; Li et al , 2021; Özkiziltan and Hassel, 2021). Consequently, this is reflected by the labor market (Bana, 2021; Lovaglio et al , 2018; Ternikov and Aleksandrova, 2020; Vooren et al , 2019; Wikle and Fagin, 2015).…”

Section: Introductionmentioning

confidence: 99%

Wage premium for soft skills in IT sector

Ternikov

2022

IJDI

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Purpose This study aims to investigate the relationship between the demand on “soft” skills and suggested salaries for IT specializations in Russia. Design/methodology/approach Based on the database of vacancies, econometric modeling and cluster analysis of job occupations are implemented. Findings The results show positive association between demand for “soft” skills and wage if the model is controlled for the working experience and narrow professional occupations. Findings provide evidence that there is significant wage premium for “soft” skills in cases when job positions either imply no experience or require specialists with at least three years of tenure. Originality/value This research provides new evidence on the relationship between “soft” skills and wage using job postings data from Russia. This paper identifies the presence of wage premium for “soft” skills among IT specialists if controlling for sub-specializations, year, region and working experience. The robustness checks indicate no significant changes in the obtained results.

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Artificial Intelligence at Work: An Overview of the Literature

Cited by 9 publications

References 51 publications

Policy Responses to Technological Change in the Workplace

Policy Responses to Technological Change in the Workplace

Governing the work-related risks of AI: implications for the German government and trade unions

Wage premium for soft skills in IT sector

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