AI-driven science offers real potential but requires addressing seven structural risks—from eroded scientific training to systematic errors in closed-loop systems—to be pursued responsibly.
AI is transforming scientific research from a craft practiced by individual researchers into an industrialized pipeline where knowledge discovery, methodology, and judgment are automated and decomposed.