ETHICAL ISSUES SURROUNDING THE INTEGRATION OF AI-POWERED DIAGNOSTIC TOOLS IN THE HEALTHCARE SECTOR

Abstract

The study looks at the ethical issues around using AI-based diagnostics in healthcare through secondary qualitative analysis. The main problems found in AI include data privacy, consent of their users, bias in algorithms, lack of transparency, and lack of control. It stresses the importance of using more acceptable datasets, understanding the working process of AI, and having reliable guidelines for ethics. The study indicates that overcoming these issues is vital for the fair and secure use of AI in healthcare practices.