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Study Finds GenAI is 'Reconfiguring' Critical Thinking
A new study focused when and how knowledge workers engage in critical thinking while using Generative AI (GenAI) has found that workers with higher confidence in the technology tend to employ less critical thinking to AI-generated outputs than workers with higher confidence in personal skills, who tended to apply more critical thinking to verify, refine, and critically integrate AI responses.
The study ("The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers") was conducted by Microsoft Research and Carnegie Mellon University scientists who surveyed 319 knowledge workers who reported using AI tools such as ChatGPT and Copilot at least once a week. The researchers analyzed 936 real-world examples of AI-assisted tasks.
"[W]e find that knowledge workers engage in critical thinking primarily to ensure the quality of their work," the researchers wrote, "e.g. by verifying outputs against external sources. Moreover, while GenAI can improve worker efficiency, it can inhibit critical engagement with work and can potentially lead to long-term overreliance on the tool and diminished skill for independent problem solving."
According to the researchers, GenAI is eroding critical thinking by fundamentally changing how professionals deal with certain business tasks, specifically in these three areas:
- Information gathering and verification: AI automates the retrieval and organization of data, reducing the effort needed to find information. However, workers must now spend more time verifying AI-generated content for accuracy and reliability.
- Problem solving and AI response integration: Instead of solving problems independently, workers focus on refining and adapting AI outputs to meet their specific needs, including adjusting tone, context and relevance.
- Task execution and task stewardship: Rather than performing tasks directly, workers oversee AI processes, guiding and evaluating outputs to ensure quality. While GenAI handles routine work, responsibility and accountability remain with human users.
While GenAI reduces cognitive effort in some areas, it increases the need for verification, integration, and oversight, reinforcing the importance of maintaining critical thinking skills. For this effort, researchers suggest future development of GenAI tools to facilitate higher critical thinking. This can be done by integrating feedback mechanisms that can help users gauge the reliability of GenAI outputs. Further, tools should be designed to customize AI assistance levels, based on a user's task confidence and expertise.
"We find that knowledge workers often refrain from critical thinking when they lack the skills to inspect, improve, and guide AI-generated responses," the researchers wrote. "GenAI tools could incorporate features that facilitate user learning, such as providing explanations of AI reasoning, suggesting areas for user refinement, or offering guided critiques."