While artificial intelligence (AI) offers significant potential in early disease detection, its use raises ethical concerns.
How to explain
AI-driven healthcare systems might compromise patient privacy by accessing sensitive medical data. Biased algorithms can result in unequal access to healthcare or misdiagnoses based on flawed data inputs.
Additionally, reliance solely on AI without human oversight might lead to errors or lack of empathy in patient care. Concerns arise regarding liability for AI-driven decisions and the potential loss of human touch in healthcare interactions.
Striking a balance between AI's efficiency and ethical considerations, such as data privacy, transparency, fairness, and accountability, is crucial in leveraging its benefits while mitigating risks.