This research focuses on exploring the use of AI tools to assist in assessing occupational risks in dental practices in Estonia and Latvia. The wide spectrum of occupational risk groups applied for dentistry highlights the complexity of the task as such. The advancement of AI technologies presents opportunities to enhance the efficiency of implementing and maintaining health and safety protocols within the workplace. Any such a claim requires a scrutinised investigation. This study employed a mixed-methods approach to compare the effectiveness of risk analysis conducted solely by Humans, Human-AI collaboration, and AI systems alone. Six occupational safety and health experts from Latvia and Estonia are participating in a real-life case risk assessment task designed to simulate a typical risk assessment scenario in a dental practice in Estonia, providing a realistic context for the study. The experts and AI tool will use multimedia information to assess various risk groups and produce recommendations. The results of the blind peer review will be used for discussion with the experts to learn their perspectives about the potential of onboarding AI tools to the OSH field. The experimental research aims to provide nuanced insights into AI tool limitations, usability and efficacy. We hope that our findings will contribute to strengthen the reliability of research practice related to the contextualised application of AI tools in the multidisciplinary domains, with the objective to foster the safety, health, welfare and well-being of people when they are at work.