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Regulatory and Ethical Considerations on Artificial Intelligence for Occupational Medicine
Antonio Baldassarre1, Martina Padovan2
1Department of Experimental and Clinical Medicine, University of Florence.
La Medicina Del Lavoro
|April 30, 2024
Summary
Generative artificial intelligence and Large Language Models are transforming work and occupational health. Ethical guidelines must adapt to ensure responsible AI use and protect worker well-being in healthcare automation.
Area of Science:
- Occupational Health
- Medical Ethics
- Artificial Intelligence
Background:
- Generative artificial intelligence (AI) and Large Language Models (LLMs) are rapidly changing industries.
- These advancements present unique challenges to occupational health practices and ethical frameworks.
- The integration of AI necessitates a re-evaluation of current occupational medicine standards.
Purpose of the Study:
- To highlight the ethical considerations of AI in occupational health.
- To urge stakeholders and physicians to adapt occupational medicine practices.
- To advocate for a review of the International Commission on Occupational Health (ICOH) code of Ethics.
Main Methods:
- Literature review on AI impact on labor dynamics.
- Analysis of ethical challenges in AI deployment.
- Comparative review of existing ethical codes in occupational health.
Main Results:
- AI and LLMs introduce novel ethical dilemmas in the workplace.
- Proactive adjustments to occupational medicine are required.
- Existing ethical frameworks may not fully address AI-specific issues.
Conclusions:
- A comprehensive review of the ICOH code of Ethics is crucial.
- Responsible AI deployment is essential for worker well-being.
- Adapting ethical practices ensures worker safety amidst healthcare automation.
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