YEAR
2025-2026
AFFILIATION
ROLE
SECTOR
FEATURED
4S 2026, Toronto
DISCIPLINES
SUMMARY
This project is an interdisciplinary research project investigating the epistemic limits of artificial intelligence through design, artistic research, and critical inquiry. By paying attention to gaps and absences, Antispace/s transforms it into a site for research, reflection, and collective imagination.
By engaging various audiences, the work raises critical questions knowledge in the era of AI.
OUTCOMES
Digital Ethnography • LLM-testing • Research Publication • Public Exhibition • Workshops • Public Performances • Educational Resources
Antispace/s Studies Platform Visit ->
Inquiry
RESEARCH FOCUS
How do we make sense of ignored knowledge(s) in an LLM infested era of information?
I propose Antispace/s: a theoretical frame, concerned with the epistemic gaps within ubiquitous AI. This work frames omissions, glitches, and absences encountered within and (re)produced by AI systems as a generative non-space, opening possibilities that reclaim agency during this ‘knowledge collapse’ we're witnessing.
Approach
The work is a concept-led methodological inquiry that uses creative practice to explore the ontological questions of AI systems like AGI’s & LLMS and its intelligence through fictionalising.
By using ‘ignorance’ as an entry point into the conversation of what is considered intelligent in the technological moment we find ourselves in today, the inquiry takes a transdisciplinary mode that switches disciplinary registers to create a mixed + experimental humanities approach to conceptualising and utilising design practice to materialise the research as experiential and accessible various publics.
Through the course of this inquiry I have engaged in three kinds of work namely:
1) Theoretical Frame and its Materialisation
2) Performance Arcs
3) Collating through Publishing
Each phase was a constellation of practices from research, experimentation to the nuanced art of performance and publishing.
Research Process: From Open Research Question to Making Public
Performance and Publication Glimpses
INITIAL RESEARCH
& DIRECTIONS
RESEARCH QUESTION
What is beyond the limits of an LLM's knowledge space?
EXPERIMENTS &
THEORETICS
Through a mixed methods approach I dive into the gaps, cracks and limitations of machine generated ignorance
⁰¹
LLM chatbot based experiments and testing. Found inconsistencies and incomputabilities in data provenance of LLMs such as ChatGPT, Claude and Gemini
⁰²
Building research grounding through scholarly work in STS, Media Theory and Archaeology and Critical Data Studies to collate limitation based understanding of LLMs
⁰³
Interviews and conversations with domain experts to surface implicit nuances of this subject
⁰⁴
Translating findings into accessible and curious formats to engage different audiences through writing, visuals and experiences
This takes the translation of findings and provocation of the idea of limitations and ignorance produced by AI systems to a larger audience.
⁰¹
Performance Lectures: Engaged in 3 internal and 1 public facing performance lectures that talk about the proposed frame of Antispace/s to make sense of AI-generated ignorance
⁰²
Publication: An abridged artist book that is a collection of findings that support the Antispace/s framework, it is an entry point to understand and probe AI from an agnotological POV
⁰³
Workshops: Designed and Facilitated 3+ workshops on finding Antispace/s through instruction scores and derive methods
OPPORTUNITY
MAPPING
CORE CONTRIBUTION
Developing a Narrative and Visual Led Research Framework on AI Limitations that can be used as cross-audience communication and awareness tool to instill critical thinking around AI Systems
RESEARCH NOVELTY
Creating new media informed research approach and translation that utilises existing tools in a creative manner
FUTURE OPPOTUNITY
Looking to develop this research in collaboration with Astrophysicists, Microbiologists, Indigenous Knowledge Keepers, Multi Species Researchers, Space Anthropologists and any special interest researchers and practioners looking into limitations, systems and knowlege.