Dual Impact Of AI In Health Care: Balancing Innovation With Ethical And Legal Considerations

Ishwarya. S, B.B.A. LL.B.(Hons.), Sastra Deemed To Be University, Thanjavur

N.L. Geetha Devi, B.B.A. LL.B. (Hons.), Sastra Deemed To Be University, Thanjavur

ABSTRACT

Artificial Intelligence (AI) is the most distinguishing and useful innovation resulting in the 21st century. The concept of artificial intelligence is not novel to the world; however, its utilization has accelerated significantly in the wake of the COVID-19 pandemic, which has significantly impacted the global health industry, raising concerns about technology usage, innovative diagnosis, treatment, and disease prevention. The incorporation of Artificial intelligence into healthcare, including machine learning algorithms, natural language processing, and robotics offers significant potential benefits in transforming medical practice by providing unprecedented prospects for enhanced diagnoses, personalized therapy, and efficient patient care. However, this technological breakthrough creates enormous issues for health laws, which must adapt to address the ethical, legal, and regulatory consequences of artificial intelligence in medicine. This paper explores the dual facets of Artificial Intelligence in healthcare, analyzing both its advantages, such as improved diagnostic accuracy and operational efficiency, and its drawbacks, including risks to patient data privacy and potential legal ramifications in cases of AI-induced harm. The research paper investigates the current landscape of AI applications in healthcare, using existing literature to evaluate the effectiveness of AI-driven interventions. The findings highlight that there is a need for robust regulatory frameworks to protect patient data, ensure fairness in AI applications, and clarify legal responsibilities in case of AI-related harm. It emphasizes the need for careful management of AI adoption in healthcare and the need for balancing innovation with caution and addressing risks in healthcare settings. This contributes to ongoing discussions on AI's potential in healthcare.

Keywords: Artificial Intelligence, Health care, Data privacy, Ethical considerations, Legal liability.