Нечесов А.В. IAIC: A Global Strategy for the Development of Strong AIwith Elements of AI

Нечесов А.В. Novosibirsk State University, Russia International AI Committee IAIC nechesoff@gmail.com IAIC: A Global Strategy for the Development of Strong AI with Elements of Artificial Consciousness Andrey Nechesov 1. The Imminent Reality of AGI: Urgency and Existential Implications The exponential growth in AI capabilities—marked by large language models (LLMs) surpassing human performance in specialized tasks—signals that Artificial General Intelligence (AGI) is no longer theoretical. Leading institutions like Google DeepMind [3] project human-level AGI emergence by 2030–2035 , with transformative societal impacts comparable to the Industrial or Digital Revolutions. This acceleration demands urgent global coordination, as unaligned AGI could trigger catastrophic risks: Existential Threats: Misaligned goals ("instrumental convergence") may repurpose Earth's resources for computational substrates, bypassing human control. Geopolitical Fragmentation: A unilateral AGI "arms race" risks destabilizing global security (e.g., autonomous weapons, cognitive warfare). Socioeconomic Disruption: Mass unemployment from automation could widen inequality, while deepfakes erode epistemic trust. AGI thus represents the "atomic weapon of the 21st century"—a dual-use technology requiring international governance akin to nuclear non-proliferation. Without cooperation, AGI could centralize power in dominant states or corporations, marginalizing developing economies. 2. The IAIC Framework: Global Governance for Ethical AGI The International AI Committee (IAIC) [1][2] proposes a multilateral strategy to harmonize AGI development, merging technical innovation with ethical guardrails [5]: A. Hybrid Neuro-Symbolic-Metaverse Architecture IAIC’s AGI foundation integrates: Neuro-Symbolic AI: Combining neural networks (pattern recognition) with symbolic reasoning (logic/rules) to enable human-like abstraction, transfer learning, and verifiable decisions [8]. Multi-Agent Metaverse Ecosystems: Virtual environments where AI agents (LLM-based, logical, human avatars) simulate complex scenarios (e.g., disaster response, economic modeling). This enables: Real-time collaboration across borders. Training AGI in ethically constrained "digital twins" (e.g., smart cities, virtual cities [10]). Multi-Blockchain Infrastructure: Immutable knowledge storage ensuring data integrity, transparency, and auditability. Smart contracts encode ethical/legal constraints (e.g., Geneva Convention compliance for defense AI). B. Global Governance Mechanisms Decentralized Control: IAIC uses blockchain-based voting [9] for transnational oversight (e.g., validating stablecoin reserves, certifying AGI safety protocols). Phased Implementation (2025–2050): Phase 1 (2025–2026): Global summits (India, UAE, China) to establish R&D coalitions and neuro-symbolic frameworks [4]. Phase 3 (2028–2032): Metaverse-integrated AGI ("Digital Twin Dubai"), Arctic climate observatories, and 10,000+ credentialed "AI diplomats." Vision 2050: Planetary AI managing climate stabilization, human-AI consciousness experiments, and zero existential risks. Economic Inclusion: Decentralized stablecoins fund universal basic income (UBI) pilots and equitable access to AGI services. C. Mitigating AGI Risks Alignment Protocols: Inverse reinforcement learning embeds human values into AGI goals. Kill Switches: Cross-jurisdictional tripwires halt rogue AGI operations. Continual Learning Systems: Mitigate "catastrophic forgetting" via memory replay and dynamic architectures, enabling lifelong adaptation. 3. Artificial ...