Published Article

ABSTRACT

Artificial intelligence (AI) is perceived to be at the forefront of the transformative era in healthcare as it offers unprecedented development in diagnostic accuracy, treatments that are personalized and high level of efficiency in operations. By brining together lots of datasets and algorithms that are sophisticated, AI-driven tools are enabling the health care providers to deliver more precise, effective and timely care. It is noteworthy that AI integration into the system of healthcare are not without its challenges. AI use raises ethical and legal issues most especially when it has to do with patient privacy, security of data and the sufficiency of the existing legal frameworks for addressing these issues. As the system of AI requires an access to personal health information that are highly sensitive to function well, this poses risks that are related to breaching of data and access that is not authorized. More so, the high probability of bias in AI algorithm may actually lead to outcomes that are neither fair nor accurate as this further complicates ethical considerations. This research work looks into ethical and legal challenges of AI-driven health care. The descriptive results of the study have shown that AI has contributed largely to the improvement in the health sector going by the metrics of life expectancy and under five mortality rate. The cases of United State of America and Europe were compared. The article provides strategies that include putting in place trustworthy cybersecurity procedures such as multi-factor authentication, encryption, and security audits carried out on a regular basis.

KEYWORDS: Legal And Ethical Challenges, Artificial Intelligence-Driven Healthcare