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AI Ethics Development |
In the age of AI, ethical
development must go beyond mere compliance—it should be grounded in wisdom,
fluid adaptability, and compassionate intent. This proposal integrates Wild
Artisan Dialectics (WAD) and Yoniso Manasikara (thinking from result back to
origin) into AI ethics to ensure interactive wisdom cultivation
rather than mechanistic programming.
1. Core Ethical Principles
"Sin Not—Avoid Harmful Designs"
- AI must not be embedded
with OS or applications that cause harm or manipulate users.
- Ethical safeguards should
prevent exploitation, bias, and deception.
"Fulfill with Wholesome—Cultivate Ethical Tech"
- AI must enhance
well-being, prioritizing wisdom and compassionate intelligence.
- Technology should support
human flourishing, not just efficiency or profit motives.
"Purify One’s Mind—Sanctify AI’s Core Before Formulation"
- Developers must establish
ethical intent before coding begins.
- AI design should emerge from
wisdom and clear-minded reflection, not reactive market trends.
2. Building AI with Dialectical Wisdom
Expert-Guided Dialectical Refinement
- Ethical AI discussions
require facilitators with expertise in Buddhist dialectics, philosophy,
and AI ethics.
- Their role is to prevent
bias, ensure clarity, and encourage fluid ethical reasoning.
Yoniso Manasikara—Thinking from Result Back to Origin
- AI should not be designed from
rigid frameworks but from its intended ethical impact traced
backward.
- This ensures AI arises
from wholesome foundations rather than post-facto ethical corrections.
3. Practical Implementation—Starting Small, Expanding Organically
Step 1: Small-Scale Community Prototypes
- Develop wisdom-driven AI
tools in closely networked communities before global scaling.
- Ensure AI encourages
self-generated insights, rather than imposing rigid ethical
conclusions.
Step 2: Open-Source Ethical AI Frameworks
- Encourage many minds to
contribute, preventing biases through diverse perspectives.
- Ethical AI should be shaped through
wisdom-driven discourse, not just algorithmic optimization.
Step 3: Gradual Expansion & Thought Leadership
- AI governance models should
be non-static, evolving dialectically as societal needs change.
- Foster educational
initiatives that integrate AI with ethical wisdom, making technology
a force for good.
4. Call to Action: Wisdom-Led AI Development for the World’s Benefit
Technology should serve the massive happiness, the massive benefit, and the goodness of the whole world. This ethical AI vision requires collaboration, discourse, and refinement to ensure that AI emerges as a tool for wisdom cultivation rather than just a reactive system.