AI in healthcare can cause legal problems

According to information provided by The Guardian, the development of artificial intelligence (AI) in healthcare brings many benefits, but at the same time raises questions of legal responsibility in the event of negative health outcomes.

AI systems help with diagnosis, image interpretation, and hospital management, but their complexity can make it difficult to determine who is at fault in the event of an error.

According to experts, a situation may arise in which a potential error leads to mutual recriminations between different parties, such as manufacturers, healthcare providers, or software developers.

Complex algorithms and the inaccessibility of their internal workings can make it difficult for both patients and lawyers to prove the cause of the damage. In addition, there may be a contract between the parties involved regarding the allocation of liability or compensation agreements.

The law and the courts are gradually adapting to new technologies, but the initial uncertainty can increase the cost of resolving disputes and slow down the development of AI. Another major challenge remains the testing and verification of the safety and effectiveness of AI tools, which are often subject to limited regulatory oversight.

Experts emphasize the need to invest in evaluating AI performance under clinical conditions and building a digital infrastructure to ensure safe and effective integration into healthcare.

(sie)