Comparing Perspectives on AI in Healthcare

Hard Comparative Reading Compare Passages

Passage 1: The role of artificial intelligence (AI) in modern medicine has expanded dramatically in recent years. AI technologies are being harnessed for diagnostic processes, patient management, and even surgical assistance. Advocates argue that AI can improve patient outcomes through enhanced accuracy in diagnosis, personalized treatment plans, and the reduction of human error. Despite these advantages, critics express concerns about the reliability of AI systems, potential biases in data, and the ethical implications of using machines in sensitive healthcare contexts.

Passage 2: While AI shows promise in the medical field, the integration of such technology raises significant ethical issues. Some ethicists contend that reliance on AI could lead to a dehumanization of care, where patients might feel like mere data points rather than individuals. Others worry about the transparency of AI algorithms, emphasizing the need for accountability in decision-making processes. Furthermore, the potential for biases in AI training data can lead to unequal healthcare outcomes, reinforcing existing disparities rather than addressing them.

Both passages highlight the potential benefits of AI in healthcare, but Passage 2 emphasizes the ethical concerns more strongly.

Both passages argue that AI can completely replace human healthcare providers without any loss of quality.

Passage 1 suggests that AI use is universally accepted in healthcare, while Passage 2 outlines significant resistance to its adoption.

Both passages agree that AI in healthcare has no downsides and will only bring improvements to patient care.

Passage 1 solely advocates for the use of AI, while Passage 2 completely opposes its application in healthcare.

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