Personal Position on AI Usage
As an artist, I use AI (Claude AI) as a conceptual partner while committing to fully-embodied, contemplative photographic practice as my core contribution. AI helps me articulate patterns, test language, develop frameworks - but it cannot do the witnessing, the staying-with, the committing to not knowing that generates genuine human insight. This partnership clarifies what's distinctly human rather than making it obsolete.
The articulation of my art that you see throughout this site emerged through seven months of partnership with AI - not as tool for automation, but as collaborator in developing Jōhō-yoku as an emergent practice between art and AI. The photography practice trains the capacity; the AI partnership helps articulate what that capacity produces.
This isn't just my artistic method - it's a model for how humans and AI can partner effectively. Individuals and organizations need to develop these same capacities.
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Art & AI: The Artist's Journey as Individual or Organizational Capacity
You don't need to produce art. You simply need to practice the artist's journey - the capacity to bathe in contextual information rather than bet on rushed conceptual leaps.
The Three-Part Process:
1. Jōhō-yoku Practice (information bathing) vs Jōhō-kake (information betting)
- Sustained presence with complexity before leaping to categories
- Staying contextual rather than rushing to conceptual solutions
- The capacity to witness what's actually emerging vs. betting on what you think you know
2. Corridor Device
- A structure that holds you in threshold space when your mind wants to leap to knowing
- Forces sustained contextual attention rather than premature categorization
3. Emergent Understanding
- What reveals itself through information bathing
- Insights that couldn't come from quick analysis or predetermined planning
- Vision that emerges from contextual reality, not imposed conceptual models
Why This Matters for AI Partnership:
AI excels at conceptual processing - it's a brilliant information betting engine that can proliferate categorical possibilities at speed.
But AI cannot information bathe. It cannot stay in corridors holding sustained contextual presence. It cannot develop the felt sense of what's actually emerging in your specific organizational reality.
Humans bring contextual capacity. AI brings conceptual capacity. Together they work with the full information spectrum.
Organizations trying to use AI while only information betting are missing the entire human contribution. You end up with:
- AI pilots designed on conceptual models (betting on official processes)
- That fail in production (collision with contextual reality)
- Because nobody witnessed what was actually happening (no information bathing)
The artist's journey isn't optional decoration. It's the missing individual and organizational capacity that makes AI partnership actually work.
Develop jōhō-yoku practice. Use corridor devices. Let genuine vision emerge. Then partner with AI's conceptual capabilities to execute on understanding that came from actual reality rather than abstract planning.
This is how diatropy happens. How systems flourish instead of decay.
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