Artificial intelligence and work: a critical review of recent research from the social sciences

Deranty, Jean‐Philippe; Corbin, Thomas A.

doi:10.1007/s00146-022-01496-x

Cited by 20 publications

(6 citation statements)

References 173 publications

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“…It is important to note the majority of the experts saw no danger that LLMs will replace researchers in the foreseeable future. They share this expectation with researchers in the field of AI and work, who in their optimistic scenarios expect a shift in tasks, the creation of new tasks and an emergence of new work profiles rather than the replacement of workers (Deranty and Corbin 2022).…”

Section: Discussionmentioning

confidence: 81%

Friend or foe? Exploring the implications of large language models on the science system

Fecher,

Hebing,

Laufer

et al. 2023

AI & Soc

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The advent of ChatGPT by OpenAI has prompted extensive discourse on its potential implications for science and higher education. While the impact on education has been a primary focus, there is limited empirical research on the effects of large language models (LLMs) and LLM-based chatbots on science and scientific practice. To investigate this further, we conducted a Delphi study involving 72 researchers specializing in AI and digitization. The study focused on applications and limitations of LLMs, their effects on the science system, ethical and legal considerations, and the required competencies for their effective use. Our findings highlight the transformative potential of LLMs in science, particularly in administrative, creative, and analytical tasks. However, risks related to bias, misinformation, and quality assurance need to be addressed through proactive regulation and science education. This research contributes to informed discussions on the impact of generative AI in science and helps identify areas for future action.

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Section: Discussionmentioning

confidence: 81%

Friend or foe? Exploring the implications of large language models on the science system

Fecher,

Hebing,

Laufer

et al. 2023

AI & Soc

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“…This technology finds application in diverse areas, such as coordinating machinery and industrial processes, workforce management (especially from a human resources [HR] perspective), customer risk assessment, benefits analysis, and staff safety evaluation. 56 To safeguard their workforce, employers can adopt various strategies recommended by the US National Institute for Occupational Safety and Health (NIOSH). These measures include providing information and training on job hazards, implementing comprehensive safety programs, and supplying PPE.…”

Section: Ai and Occupational Safety Enhancementsmentioning

confidence: 99%

Artificial intelligence in advancing occupational health and safety: an encapsulation of developments

Shah,

Mishra

2024

Journal of Occupational Health

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Objectives: In an era characterized by dynamic technological advancements, the well-being of the workforce remains a cornerstone of progress and sustainability. Evolving industrial landscape in modern world have had a considerable influence on Occupational Health and Safety (OHS). Ensuring the wellbeing of workers and creating safe working environments are not only ethical imperatives but also integral to maintaining operational efficiency and productivity. We aim to review the advancements that have taken place with a potential to reshape workplace safety with integration of AI-driven new technologies to prevent occupational diseases and safety solutions. Methods: The published literature was identified using scientific databases of Embase, PubMed and Google scholar including a time lower bound as 1974 to capture chronological advances in occupational disease detection and technological solution employed in industrial setups. Results: AI-driven technologies are revolutionizing how organizations approach health and safety, offering predictive insights, real-time monitoring, and risk mitigation strategies that not only minimize accidents and hazards but also pave the way for a more proactive and responsive approach to safeguarding the workforce. Conclusion: As industries embrace the transformative potential of Artificial Intelligence (AI), a new frontier of possibilities emerges for enhancing workplace safety. This synergy between OHS and AI marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces.

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“…The study also revealed a significantly higher demand for AI-related labor and a significantly lower supply of AI-related labor, indicating the need for further exploration of the role of AI in online labor markets. Similarly, Deranty and Corbin [ 50 ] highlighted the potential societal impacts of AI deployment in work, particularly in the areas of technological unemployment and wealth polarization.…”

Section: Introductionmentioning

confidence: 99%

Gamification and Soft Skills Assessment in the Development of a Serious Game: Design and Feasibility Pilot Study

Altomari¹,

Altomari²,

Iazzolino³

2023

JMIR Serious Games

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Background The advent of new technologies has had a profound impact on the labor market, transforming the way we work and interact with each other. With the rise of digital tools and platforms, gamification has emerged as a powerful technique for enhancing productivity and engagement in various fields, including human resource management. In particular, gamification has been found to be effective in developing and assessing soft skills, which play a critical role in determining the success of individuals, teams, and organizations. Objective We present a serious game that identifies the most sought-after skills in the job market and offers feedback, and we provide a set of guidelines for the creation of serious games. Methods We present the serious game Among the Office Criticality (AOC). The AOC game structure involves a set of sequence analysis techniques, which is known as process mining. Results The pilot study findings indicate that the game is both engaging and beneficial to subjects, suggesting that the results align with current theoretical perspectives. Furthermore, the study suggests that the obtained data can be extended to the broader population. Conclusions This study illustrates a serious game structured according to the needs of the labor market and developed to put the user at the center, using evaluation techniques consistent with the literature, with the aim of constituting an interdisciplinary approach suitable for adequately assessing users and creating value for them.

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Artificial intelligence and work: a critical review of recent research from the social sciences

Cited by 20 publications

References 173 publications

Friend or foe? Exploring the implications of large language models on the science system

Friend or foe? Exploring the implications of large language models on the science system

Artificial intelligence in advancing occupational health and safety: an encapsulation of developments

Gamification and Soft Skills Assessment in the Development of a Serious Game: Design and Feasibility Pilot Study

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