Ethical aspects of the application of artificial intelligence in allergology

Background: Artificial intelligence (AI) offers a wide range of applications in allergology, including diagnostics and disease course prediction, consultations, real-time monitoring of allergic reactions, and support for decentralized clinical studies. Materials and methods: This review aims to highlight not only the potential applications but also the ethical aspects of using AI in allergology. Results: Initial studies demonstrate potential applications of AI in predicting provocation tests and antibiotic delabeling. However, these models from research and development have not yet been established in clinical practice, partly because ethical considerations, alongside technical challenges, and data quality issues, must be addressed. Key ethical dilemmas include bias and fairness, the principle of non-maleficence, data protection and autonomy, transparency of AI models, and questions of accountability. AI applications must be robust and reliable to prevent harm caused by erroneous recommendations. Conclusion: The use of AI in allergology requires clear guidelines based on principles such as autonomy, justice, and non-maleficence. General bioethical principles must be complemented by specific regulations for AI.