As we get better at building AI systems, the question shifts from "what can we optimize?" to "what *should* we optimize?" This piece makes a compelling case for bringing human context back into data analytics — something that becomes even more critical as automated decision-making scales.
As we get better at building AI systems, the question shifts from "what can we optimize?" to "what *should* we optimize?" This piece makes a compelling case for bringing human context back into data analytics — something that becomes even more critical as automated decision-making scales. 🎯
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