Dialogues of Sense and Algorithm: Reconfiguring Arts-Based Research in the AI Era

As qualitative research is increasingly shaped by artificial intelligence (AI), new challenges emerge. While AI expands creative possibilities, its integration also risks reducing sensory knowledge to abstract symbols and reinforcing cultural bias. This article introduces Sensory–Algorithmic Dialogue (SAD) as a critical methodological framework that reorients how qualitative research, particularly arts-based research (ABR), engages with AI. Rather than fusing sensory ethnography and algorithmic processes, SAD sustains their difference, treating misalignments not as flaws but as productive frictions. Drawing on ethnographic fieldwork in Jingdezhen, a thousand-year-old ceramic art community, we show how AI’s misreading becomes entry points for reflection, where researchers’ multisensory expertise reclaims knowledge overlooked by algorithmic abstraction. In doing so, SAD repositions AI from a passive tool to an active interlocutor, turning algorithmic limitations into opportunities for creativity, critique, and methodological innovation, while deepening ABR’s capacity to sustain embodied, multisensory, and culturally grounded inquiry in the AI era.

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Publication Details

Journal
Qualitative Inquiry
Published
2025-11-25
DOI
https://doi.org/10.1177/10778004251393201
Primary Topic
Artistic and Creative Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Dialogues of Sense and Algorithm: Reconfiguring Arts-Based Research in the AI Era

J. Guo, H. C. Fang
Qualitative Inquiry
Artistic and Creative Research
article

Dialogues of Sense and Algorithm: Reconfiguring Arts-Based Research in the AI Era

J. Guo, H. C. Fang
article en

Abstract

As qualitative research is increasingly shaped by artificial intelligence (AI), new challenges emerge. While AI expands creative possibilities, its integration also risks reducing sensory knowledge to abstract symbols and reinforcing cultural bias. This article introduces Sensory–Algorithmic Dialogue (SAD) as a critical methodological framework that reorients how qualitative research, particularly arts-based research (ABR), engages with AI. Rather than fusing sensory ethnography and algorithmic processes, SAD sustains their difference, treating misalignments not as flaws but as productive frictions. Drawing on ethnographic fieldwork in Jingdezhen, a thousand-year-old ceramic art community, we show how AI’s misreading becomes entry points for reflection, where researchers’ multisensory expertise reclaims knowledge overlooked by algorithmic abstraction. In doing so, SAD repositions AI from a passive tool to an active interlocutor, turning algorithmic limitations into opportunities for creativity, critique, and methodological innovation, while deepening ABR’s capacity to sustain embodied, multisensory, and culturally grounded inquiry in the AI era.

Qualitative Inquiry
Florida State University (US), University of Georgia (US)
Openalex Percentile: Top 67%
Artistic and Creative Research
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