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Ford admits its over-reliance on automated systems and AI led to quality declines, forcing the company to rehire experienced engineers to correct errors and retrain systems.
This paper surveys the capabilities and limitations of AI across the full research lifecycle, from idea generation to dissemination, identifying a sharp boundary between reliable assistance and unreliable autonomy. It provides a taxonomy, benchmark suite, tool inventory, and design principles for human-governed AI collaboration in research.