 Through the AI Thinking Space: An Autoethnographic Tale of Unexpected InsightFaith Jeremiah European Research Studies Journal, 2023, vol. XXVI, issue 2, 715-728 Abstract: Purpose: Throughout history, storytelling has been a cornerstone of human experience. Our ancestors told tales around their fires that became the bedrock of entire cultures. Beyond mere entertainment, these stories were crucial in imparting essential cultural values, wisdom, and a sense of collective identity. They served as a medium for passing down knowledge and strengthening communal bonds, blending reality with imagination to expand the realms of possibility. This age-old tradition is not just about recounting events; it is a way of making sense of the world, interpreting the past, and envisioning what the future might hold. In the same spirit, I present to you my narrative, not just as a recounting of events, but as a journey of sensemaking. It’s a story captured in real-time, reflecting my experiences with collective real and artificial insights as I navigate extensive engagement with ChatGTP4. Design/Methodology/Approach: In a quiet corner of an academic's mind, a dialogue began – not with a colleague, nor a book, but with an AI named ChatGPT4. This narrative unfolds over several months, during which each textual exchange could catalyze a surge in creative thought and higher-order thinking. Findings: As a reflective interface, ChatGPT4 reveals oblivious habitual patterns, that were obstructing the next level of creative and advanced thinking. This autoethnographic narrative, a blend of technology and introspection, weaves a story that transcends conventional research, portraying AI as an analytical tool allied with the unintended quest for cognitive insight. Practical Implications: The scholar, initially the conductor of queries and task setting, unwittingly becomes a student of their own mental landscape, resulting from inquisitions into their extensive textual communication. Originality/Value: This approach is crucial as it extends traditional ethnographic focus from solely human societies to the complex dynamics of digital communities, including AI entities. Keywords: Introspection; AI-Human collaboration; autoethnography; communication. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxvi:y:2023:i:2:p:715-728 Access Statistics for this article More articles in European Research Studies Journal from European Research Studies Journal |
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