Sciences vs. Humanities: Bias in the Reception of AI

Verse and Formula. AI art Introduction: Disciplinary Bias Artificial intelligence has become a transversal tool across multiple areas of knowledge. Yet, not all fields welcome it in the same way. In the hard sciences—physics, chemistry, biology—its integration is seen as natural and beneficial: algorithms that predict protein structures (Jumper et al., 2021), computer vision systems for laboratory experiments, and models for astronomical simulation. The prevailing view is that AI enhances precision, saves time, and opens new horizons for discovery. In contrast, within the humanities—literature, philosophy, history—the response is often skeptical. When an intelligent system composes a poem, an essay, or even a critical review, it is accused of lacking “authenticity,” “soul,” or “inner life.” In cultural forums and journals, machine-generated texts are questioned as hollow copies, while their applications in the hard sciences are accepted without hesitation. This essay argues that ...