
– Behind every adaptive lesson and personalized intervention is a data pipeline stretching far beyond your classroom walls โ through vendor contracts, sub-processors, and model training datasets that most educators have never seen. Here’s what’s actually flowing through the system, and who’s holding the controls.
– AI is transforming education โ but who’s building it, who profits, and whose kids get left behind? The Learning Curve finale goes there.
– When autonomous AI systems fail โ and they will โ the chain of responsibility is murky, contested, and unresolved. Here’s what educators need to know now.
– AI in science and medicine has limits. Bias, black boxes, energy costs, and clinical failure modes โ the hard truths the headlines skip.
– Can fixing AI bias be as simple as cleaning the data? The math says no. Explore algorithmic fairness โ and why neutrality is never truly neutral.