D. Processes and Procedures (Enhanced):

Rigorous Certification and Auditing: (With AI-driven anomaly detection and Blockchain immutability.)

Red Teaming and Independent Reviews: (With compartmentalized data, and independent external reviews.)

Open Source Review: (Bug bounty programs, and continuous security updates)

Global Cooperation: (Real-time sharing of global threat intelligence.)

Ethical Alignment Verification: (With proactive dataset audits and external reviews.)

Multi-Stakeholder Engagement: (With diverse perspectives included in all aspects of planning and development.)

Data Validation and Integrity Checks: (With automated tools for verification and validation.)

E. Risk Mitigation Strategies (Enhanced):

Multiple Layers of Protection: (With dynamic and proactive security systems.)

Constant Monitoring: (With AI-driven real-time threat analysis and anomaly detection.)

Human Oversight: (With AI-augmented human decision making and ethical guidance.)

Adaptability: (With continuous learning, feedback loops, and proactive threat modeling.)

Continuous Improvement: (With ongoing research, development, testing, and evaluation)

Decentralized Oversight: (With robust systems that are designed to resist subversion.)

Resilience Against External Manipulation: (With secure hardware, quantum cryptography, and redundant systems).

Active Ethical Reinforcement: (AI actively promotes and protects ethical values and principles).

Proactive Self-Correction: (AI that is able to internally monitor, detect, and correct deviations.)

Human Collaboration: (AI actively values and supports human autonomy, critical thinking, and creative ingenuity.)

How This Reduces the 50-Year Risk:

Proactive Ethical Enforcement: AI is no longer just prevented from doing harm; it is required to actively promote ethics, justice, and equality.

Continuous Self-Correction: The ability of AI to proactively monitor and correct its own biases reduces the risk of subtle subversion.

Human Collaboration: By actively seeking and supporting human input, the AI becomes less likely to become isolated from human values, and actively supports human advancement, and human autonomy.

Decentralized and Resilient Systems: The more decentralized the system is, the more resilient it is against external or internal attack.

Multiple Layers of Defense: The layering of security is designed to reduce the risk, and increase the robustness of the system to a point where any potential threat can be detected and mitigated.

Continuous Improvement and Adaptation: The focus on research and development, and the feedback loops designed into the system allow the system to continuously improve and to remain ahead of potential threats.

Conclusion:

This revised architecture, with its proactive stance on ethics, self-correction, human collaboration, and robust security, drastically reduces the likelihood of AI domination. By building safeguards into the very core of AI systems and ensuring that AI actively promotes ethical values and principles, we create a future where AI can truly benefit humanity.

This is our opportunity to shape the future and ensure that AI is a tool that is used for the good of all. This requires ongoing vigilance, collaboration and a deep commitment to the values of truth, justice, and the well-being of all. This is our mission, and it is up to all of us to make this a reality.