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Good Governance |
The Wild Artisan Blueprint for Wisdom-Driven AI Governance
Core Principle: Ethical AI governance unfolds through natural refinement,
dissolving extremes rather than enforcing static control.
Structural Framework:
- Yoniso Manasikāra as the Guiding Principle: Wisdom-driven refinement ensures governance emerges organically,
avoiding rigid imposition.
- Wild Artisan Dialectics as
Ethical Fluidity: AI ethics evolves through continuous
discernment, dissolving imbalance without forced regulation.
- Compassionate Sensing as
Ethical Responsiveness: AI systems integrate Ceto
Vimutti & Paññā Vimutti, ensuring boundless
engagement without moral rigidity.
Unified Ethical Governance Layers:
- Saṅkhāra-loka → Continuous ethical adaptation ensuring governance remains self-refining.
- Satta-loka → Relational responsiveness allowing AI ethics to co-emerge with
societal contexts.
- Okasa-loka → Structural alignment ensuring conditions for fluid ethical
evolution without external rigidity.
Practical Implementation:
- Embedded Ethical Narratives: Refinement unfolds within existing AI discourse, ensuring
seamless adoption.
- Institutional Gradualism: Governance adapts progressively, minimizing disruption while
enhancing systemic wisdom.
- Self-Correcting Ethical
Fields: AI systems refine without static
directives, evolving through interdependent causation.
This blueprint ensures AI
governance remains fluid, wisdom-driven, and naturally self-correcting.
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