Qualitative science at risk as AI overlooks context, meaning and human experience
Published on: Nov. 18, 2025, 2:25 p.m. | Source: Devdiscourse
The problem is structural rather than philosophical. The study shows that the recent acceleration of AI for science has been shaped by longstanding quantitative bias. AI excels at processing large-scale datasets, running simulations and identifying patterns, not at unpacking meaning or navigating ambiguity. As automated discovery pipelines expand, they do so without a qualitative counterpart, reinforcing an incomplete vision of what counts as scientific evidence.
