AI could make it harder to establish blame for medical failings, experts say

The article discusses the potential challenges that the rapid development of AI in healthcare could pose in terms of liability and blame for medical failings. Experts have raised concerns about the legal complexities that may arise when AI-powered tools are involved in medical decision-making. The report highlights that as the use of AI in healthcare, such as algorithms for interpreting scans and aiding diagnoses, as well as systems for managing hospital operations, continues to grow, it could become increasingly difficult to establish liability when something goes wrong. The lack of thorough testing and understanding of how these AI systems function may further complicate the issue of determining responsibility. The article suggests that the booming development of AI health tools could create a "legally complex blame game" when it comes to assigning accountability for medical errors or other failures. Experts emphasize the need to address these liability concerns as the adoption of AI in the healthcare sector continues to expand.