The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers

Paper · Source
Workplace ApplicationsSocial Theory and SocietyCo-Writing and Collaboration

As Bainbridge [7] noted, a key irony of automation is that by mechanising routine tasks and leaving exception-handling to the human user, you deprive the user of the routine opportunities to practice their judgement and strengthen their cognitive musculature, leaving them atrophied and unprepared when the exceptions do arise.

In response, research has begun looking closely at how different activities are impacted by GenAI and the extent to which cognitive offloading [8] occurs, and whether this may be an undesirable thing. Some work has focused, for instance, on studying the effects of GenAI use on memory (e.g., [1, 106]) and on creativity (e.g., [28, 100]). Moreover, design research has also been developing interventions that improve the ability of people to think in certain ways (e.g., [24]). We review these lines of work in Section 2.

Lines of inquiry this paper opens 24

Research framings built by reading the notes related to this paper — the questions it feeds into.

How does AI adoption affect human skill development and labor equality? How does AI assistance affect human cognitive development and reasoning autonomy? How do transformer attention mechanisms implement memory and algorithmic functions? Can AI systems balance emotional competence with factual reliability? Does AI fluency substitute for verifiable accuracy in human judgment? How do professional roles and expertise transform with AI-generated content? Can language model hallucination be prevented or only managed? How do multi-agent systems achieve genuine cooperation and reasoning?