7. Responsibility for Recommendations
Responsibility for recommendations based on the use of artificial intelligence in healthcare is a paramount ethical issue. When automated systems propose therapeutic solutions or preventive measures, high accuracy and reliability of algorithms become critical. Incorrect and inaccurate recommendations can lead to adverse consequences for the patient, including deterioration of condition or even life-threatening situations.
Therefore, developers and medical professionals must ensure transparency of the applied models and methods, as well as clearly define boundaries of responsibility. It is important that algorithms are used as supportive tools while the final decision is made by a qualified specialist.
Conducting diagnostic and recommendation processes using AI requires continuous monitoring of system quality, as well as regular updates of databases and algorithms based on new clinical data and research.
In cases of errors or mismatches between recommendations and the actual patient condition, responsibility often lies with both the software developers and the medical institutions applying these technologies.
Legal norms and standards should regulate the use of AI in medicine, guaranteeing the protection of patient rights, their safety, and accountability for outcomes.
An important aspect is also informing patients about the use of automated systems in forming recommendations and obtaining consent for using such technologies.
All these measures serve as a unifying foundation for increasing trust in artificial intelligence systems and ensuring their accountability within medical practice, ultimately contributing to safer and more effective use of new technologies in healthcare.