
Truth, Beauty, Justice, and the Data Scientist’s Dilemma
As AI systems become more capable of automating every stage of the data science workflow—from formulating hypotheses to summarizing results—it might seem we’re inching toward a world where “data scientist” becomes just another automated job title. But Timpone and Yang’s new framework, presented in their paper AI, Humans, and Data Science (2025), offers a powerful antidote to this narrative: a structured way to evaluate where humans are indispensable—not by resisting automation, but by rethinking our roles within it. ...