Verification Is Not Knowledge: Science needs more than answers
Summary
This guest essay explores the tension between producing verifiable AI-driven scientific outputs and preserving human understanding. It argues that value-free ideals have shaped scientific progress and contends that accountability, social critique, and human oversight are essential for turning verified results into genuine knowledge. The piece questions whether AI can serve as an accountable epistemic agent and highlights the need for human involvement in science.