Navigating the AI-Driven Workplace: Emerging Challenges and Innovative Solutions in Occupational Health and Safety

Dear Colleagues,

The rapid advancement and integration of artificial intelligence (AI) technologies into modern workplaces have transformed work environments and processes, posing unique challenges to occupational health and safety (OHS). This proposal invites submissions addressing cutting-edge OHS issues emerging in the context of AI-driven work environments and suggesting innovative solutions that promote worker well-being and safety.

Topics of interest include, but are not limited to:

• AI and automation's impact on physical and mental health in the workplace;
• Novel methods and AI-driven tools for ergonomic risk assessment, hazard identification, and injury prevention in human–AI interactions;
• Balancing worker autonomy and safety in AI-enhanced decision-making processes;
• Ensuring privacy and ethical data management in AI-driven OHS applications;
• Designing adaptive and inclusive AI-integrated work environments for diverse worker populations;
• The role of AI in facilitating OHS training and education;
• Regulatory frameworks and standards for OHS in the AI era;
• Case studies demonstrating successful implementation of AI-driven OHS initiatives;
• Data privacy and security concerns in AI-driven OHS systems;
• Understanding the impact of human–AI interaction on OHS outcomes;
• Ethical considerations in the deployment of AI technologies in OHS;
• Regulatory compliance and standards for AI applications in workplace safety;
• Training and education programs to enhance worker competencies in AI-led work environments;
• Human-centric design principles for AI systems in OHS;
• Case studies and empirical research on the implementation and evaluation of AI technologies in occupational health and safety.

This interdisciplinary call invites researchers from diverse fields, including occupational health and safety, human factors, ergonomics, computer science, engineering, psychology, and sociology, to contribute their perspectives and insights on the future of AI in the workplace and its implications for worker health and safety.

Submissions should present original research, critical reviews, case studies, or innovative conceptual frameworks that significantly advance our understanding of OHS challenges and opportunities in AI-driven work environments. Authors are encouraged to consider both theoretical and practical implications of their work and to offer recommendations for future research and practice.

Dr. Bochen Jia
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• occupational health and safety
• artificial intelligence (AI)
• AI-driven work environments
• human–AI interaction
• ethical considerations
• risk assessment
• training and skill development
• organizational factors
• workplace culture
• worker well-being
• occupational health and safety (OHS)
• AI-driven work environments
• ergonomic risk assessment
• worker well-being
• human–AI interaction
• adaptive and inclusive work environments
• OHS training and education
• regulatory frameworks
• future of work