How do we navigate the tension between the efficiency of automated ML decisions and the need for human empathy and understanding in areas like healthcare?

ANSWER: We navigate this tension by blending ML automation for efficiency with human oversight for empathy. In healthcare, algorithms can process vast data for quick insights, but decisions affecting patient welfare should always involve professionals to ensure compassionate, ethical care. Balancing ML's scalability with human judgment fosters a hybrid approach where technology amplifies, not replaces, the nuanced understanding that healthcare practitioners provide.