What is the potential role of ML in fostering global educational equity, and what are the ethical considerations in its deployment?

ANSWER: ML can personalize learning, adapt to students' needs, and provide accessible education, addressing inequalities. It can analyze performance and offer targeted resources, making education more effective for diverse populations globally. Ethical considerations include ensuring bias-free algorithms, respecting data privacy, and preventing the digital divide from widening, as not all students have equal access to technology required for ML-based education. It's crucial to ensure ML solutions are fair and accessible to all learners.