About this course
This three-day course examines how AI is being applied across different workplace functions and how these applications are transforming occupational safety and health (OSH). Rather than focusing on a single application, participants will explore diverse uses of AI at work, including algorithmic management, AI-assisted decision support, worker monitoring and surveillance, generative AI for knowledge work, automation. The course examines the implications of these applications for working conditions, worker health, regulation and prevention.
Day 1 introduces key concepts, regional frameworks, ethical principles, and impacts on employment and working conditions. Day 2 explores exposure pathways, psychosocial and physical risks, and current scientific evidence on AI and worker health. Day 3 focuses on practical prevention strategies, organizational interventions, and collective actions.
The course is highly dynamic, combining lectures, workshops, and group discussions, and is designed for a mix of researchers and practitioners to foster practical knowledge exchange. Lectures are delivered by prominent experts in exposure assessment, legal frameworks, ethics, epidemiology, occupational medicine, sociology, occupational psychology, industrial relations, and policy regarding AI-enabled work and OSH.
Course objectives
The course aims to provide participants with an interdisciplinary understanding of how AI-driven digitalization is transforming workplaces, focusing on both risks and opportunities for occupational safety and health (OSH). By the end of the course, participants will be able to:
- Define AI use at work and differentiate it from key concepts such as algorithmic management, digital platforms, and work digitalization, including regional distinctions between the Nordics, EU, and other contexts, and sector, industry differences.
- Explain how AI systems function in workplace settings and identify ethical principles relevant to OSH, as well as empathy in AI-Mediated Workplaces.
- Assess the influence of AI and automation on job quality, employment conditions, psychosocial factors, ergonomics, and safety factors.
- Understand legal and regulatory frameworks, including GDPR, employment status legislation, right-to-disconnect laws, and the EU AI Act.
- Identify exposure pathways linking AI systems to physical, psychosocial, and organizational health outcomes.
- Critically evaluate current scientific evidence, recognize knowledge gaps, and identify future research needs related to AI and worker health.
- Apply practical tools for risk assessment, prevention, and intervention in AI-mediated work environments.
- Analyze real-world examples of high-risk AI applications and successful interventions, including collective actions such as union strategies and policy innovations.
Main topics
- AI use at workplace
- AI and knowledge work
- AI-enabled management, monitoring and decision support
- Sustainable work environment
- New Occupational Risks
Target groups
Researchers, PhD students, Specialists, Practitioners, Policymakers
Subject background
The rapid integration of AI into workplaces is transforming the nature of work, creating new risks and opportunities for occupational safety and health. AI is increasingly applied across a wide range of workplace functions, including task allocation, decision support, worker monitoring, recruitment, performance evaluation, automation, and knowledge work. While these applications can improve efficiency, reduce exposure to hazardous tasks, and enable innovative work organization, they also introduce psychosocial, organizational, ethical and legal challenges. These can affect job quality and health of workers. Regulatory frameworks such as the GDPR, right-to-disconnect laws, and the EU AI Act attempt to address these challenges but leave gaps in practical guidance for OSH practitioners.
This course is critical for equipping professionals with the knowledge and tools needed to navigate these complex developments, ensuring that AI-driven workplaces are both productive and safe.
Course Summary |
|
| 5th – 7th of October 2027 | |
| Onsite course | |
| Scandic Star Sollentuna, Stockholm, Sweden | |
| Deadline 1st of September 2027 | |
| EUR 1000 – 1160 (depending on the choice of day package) | |
| Register now |
Price information
The price of the course consists of the course fee of EUR 600
and the day package of choice.
Day package I
This package includes:
- conference facilities and technical equipment
- course material
- coffees, lunches
- dinner on Tuesday, 5.10, and the social program and dinner on Wednesday, 6.10.
We strongly encourage you to take part in the social program, as this is a vital part of the NIVA course experience. We believe in the power of networking and strive to create an inspiring possibility for that through the social program.
The total price of the course is EUR 800 (course fee EUR 600 + day package fee EUR 560).
Day package II
This package includes:
- conference facilities and technical equipment
- course material
- coffees, lunches
Kindly note that the day package II does not include dinners, nor the social programme.
The total price of the course is EUR 1000 (course fee EUR 600 + day package fee EUR 400).
Accomodation
4th – 7th of October 2027 at Scandic Star Sollentuna, Stockholm, Sweden.
NIVA has made a block reservation for the accommodation 4th – 7th of October 2027 at Scandic Star Sollentuna, Stockholm, Sweden.
To book a room from the block, kindly make the reservation through this link (available until 1.10.2027) and use the booking code: BNIV041027.
The room price for a single standard room is 1590 SEK, approx. EUR 144 including breakfast.
The block reservation will be available until 1st of October 2027.
General course fee and cancellation information
The courses and workshops vary in price. Please note that the course fee does not cover meals or accommodation. The course fee and day-package fee are invoiced after the registration deadline.
Travel arrangements
Please refrain from booking any travel tickets until we have confirmed the course. The confirmation, which will be sent at the latest after the registration deadline, will include detailed information on the payment of the course fee and day-packages, as well as information on practical arrangements. Please note that you are not insured by NIVA.
Accessibility and Inclusion
Our venues for organising courses have carefully considered accessibility to ensure they cater to the needs of all participants. For detailed information about the course venues accessibility features, please visit the hotel webpage.
Cancellation policy
Cancellations received by 1st of September 2027: full refund
Cancellations received by 2nd of September 2027 or later: no refund
NIVA will issue an invoice or send information on how to pay the course with credit card (depending on the option chosen in the registration form) after the registration deadline.
The price is subject to minor changes.
Contact person
Course leader
Nuria Matilla-Santander, MPH, PhD, Assistant Professor, Unit of Occupational Medicine, Karolinska Institutet, Sweden.
email: nuria.matilla.santander@ki.se
In practical matters, please contact:
Nathalie Räihä, Project Manager at NIVA
email: nathalie.raiha@niva.org
Course Summary |
|
| 5th – 7th of October 2027 | |
| Onsite course | |
| Scandic Star Sollentuna, Stockholm, Sweden | |
| Deadline 1st of September 2027 | |
| EUR 1000 – 1160 (depending on the choice of day package) | |
| Register now |
