Reference no: EM133749148

Question

I chose two sources with different views on the ethical issues of AI in healthcare diagnostics. Patil (2024) highlights the benefits of AI, such as improved accuracy and efficiency in diagnostics, which can reduce errors and help detect illnesses early. He states, "AI-powered diagnostic systems have shown great sensitivity and specificity, which might help reduce diagnostic mistakes and enable early illness identification" (Patil, 2024, p. 2). On the other hand, Ali (2023) acknowledges these benefits but focuses more on the ethical challenges, like patient privacy, algorithmic bias, and data security, which are crucial for the responsible use of AI. Ali argues, "Ethical considerations, such as patient privacy, algorithmic bias, and data security, are crucial to the responsible adoption of AI in healthcare" (Ali, 2023, p. 1166). Comparing these perspectives, while Patil emphasizes the positive impacts of AI, Ali provides a more balanced view by addressing the necessary ethical considerations. Ali's argument is more credible because it considers the advantages and the essential precautions for integrating AI into healthcare diagnostics.