What challenges does ML face in deciphering and adapting to the nuanced, contextual knowledge that humans use in ethical decision-making?

ANSWER: ML struggles to grasp ethical nuances due to its reliance on data that cannot fully capture the complexity of human morals and context. Algorithms lack innate understanding of cultural subtleties and ethical principles, making it hard for them to adapt to varying ethical scenarios. The absence of common sense reasoning and the challenge of encoding morality into quantifiable rules further impede ML's capacity to replicate human ethical decision-making processes.