The descent into AI dictation: A framework for AI in the organization of information for information literacy instruction
Abstract
This article proposes a conceptual information literacy framework titled “The Descent into AI Dictation” to integrate generative AI within the broader ecosystem of information organization alongside traditional library discovery systems. The proposed framework addresses the need for a more grounded understanding of generative AI's position within the organization of information. By positioning AI at the bottom of a descending funnel of information organization, the framework effectively contrasts the exploratory nature of traditional library discovery systems with the dictatorial nature of generative AI. The author argues that while traditional library systems prioritize serendipity and user-driven exploration, AI's probabilistic design risks unintentionally dictating users down narrow research paths, limiting the autonomy of the individual over their research and stifling creativity in the research process. The author conveys this concept through a visualization of the framework created via Google Gemini, helping students recognize the trade-offs between relevance and discovery while illustrating how over-reliance on AI tools can erode creative problem-solving. Ultimately, this framework serves as a tool for information literacy instructors to emphasize the enduring value of fundamental research skills and creativity, ensuring students maintain research autonomy while engaging with rapidly evolving AI technologies.
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Authors: Michael Deike
Institutions: Hesburgh Libraries