## 4 Discussion
The organization stresses the need for transparency, robust regulatory frameworks, and responsible innovation to ensure that these technologies do not exacerbate existing health inequities. To address these ethical challenges in occupational medicine, several recommendations were proposed by [PERSON] et al. [36]. First and foremost, transparency and explainability in clinical decision-making supported by these technologies are essential. Occupational health professionals must take responsibility for the transparent and clear use of LLMs, ensuring that all decisions are understandable and well justified. Given the significant influence that LLMs can have on clinical decisions, it is crucial to clearly define the roles and responsibilities of practitioners in overseeing the use of generative AI. These professionals must remain accountable for the decisions made, ensuring that human oversight remains a central component. Data privacy and confidentiality are equally important, with the guidelines reaffirming the need to protect the sensitive health surveillance data processed by LLMs. Safeguarding the confidentiality of this information is imperative to maintain trust and comply with ethical standards. Additionally, the potential for LLMs to perpetuate or amplify biases necessitates a commitment to reducing discrimination and promoting equitable access to and use of these technologies, particularly in health surveillance and clinical decision-making. The ethical use of LLMs must also include continuous education and training for practitioners. It is essential that they receive proper instruction on the responsible use of these technologies and engage in ongoing professional development to stay informed about emerging ethical challenges and technological advancements. Despite the technical, ethical, and legal challenges that LLMs currently face in ensuring their safe and reliable use in the international medical landscape, we can hypothesize several potential applications for chatbots like ChatGPT or Bard in the daily practice of occupational physicians. First, given the vast array of laws, legislative decrees, technical standards, and both national and international guidelines forming the theoretical and practical foundation of this discipline, chatbots could act as 24/7 virtual assistants. This capability would allow occupational physicians to query current regulations on workplace health and safety, workers' rights and duties, safety protocols, and potential health risks in specific work environments, among other topics, with chatbots providing immediate responses to support their professional activities. Other potential applications include developing management systems for occupational health surveillance and enabling the efficient recording of all medical examinations and diagnostic assessments conducted on workers. This would facilitate more comprehensive data collection. Additionally, LLMs could assist in the prevention of occupational diseases by identifying trends in work-related illnesses or injuries based on available data, particularly underreported trends. Such insights could inform more effective prevention strategies. Furthermore, LLMs could support training obligations by generating educational materials on workplace best practices, the risks associated with specific activities or substances, and company safety guidelines. Chatbots like ChatGPT or Bard could also be leveraged to generate reports, informational documents, and corporate communications related to occupational health and safety. They could assist in drafting and reviewing risk assessment documents to ensure regulatory compliance for employers. Additionally, LLMs have the potential to support scientific research by analyzing diverse health data collected during occupational health surveillance. However, their use must strictly comply with data privacy regulations and ethical standards.