3 items with this tag.
Source details Bearman, M., Tai, J., Dawson, P., Boud, D., & Ajjawi, R. (2024).
When AI can generate text, images, and ideas at scale, what remains distinctively human? This post argues that evaluative judgement—the capacity to assess what is worth creating, what deserves attention, and what matters—becomes the core human contribution in knowledge work. Drawing on research into evaluative judgement in health professions education, it explores how educators can make this capacity explicit and deliberately develop it, rather than treating it as an invisible by-product of experience.
Contemporary AI discourse often focuses on 'sanctuary strategies' — defensive attempts to identify uniquely human capabilities — positioning humans and AI as competitors for finite cognitive territory. This essay reframes human-AI relationships as embedded within complex cognitive ecologies where meaning emerges through interaction, and introduces 'taste' as a framework for cultivating contextual judgement: sophisticated discernment about when, how, and why to engage AI in service of meaningful purposes. Unlike technical literacy, taste development involves iterative experimentation and reflection, preserving human agency over value determination. By shifting from 'What can humans do that AI cannot?' to 'How might AI help us do more of what we value?', the essay builds a case for abundance-oriented human-AI partnership.