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Showing posts with the label Artificial Intelligence

A Conceptual Government Model by D. Conterno (2026)

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 Tribal–Cluster–Network Governance with Elder Councils and AI Coordination: A Conceptual Government Model, Research Propositions, and an OECD-Mapped Pilot Evaluation Framework by D. Conterno     Abstract Across many jurisdictions, trust deficits, polarisation, corruption exposure, and slow conflict resolution indicate misfits between hierarchical, winner-takes-all governance and the networked complexity of modern societies (UNDP, 2023/2024). This journal-style manuscript formalises a “tribes–clusters–networks” proposal as a polycentric, deliberative governance architecture in which: I. “Tribes” are purpose-bound communities.             II. “Clusters” connect tribes via bridging representatives (“elders”).            III. An AI coordination layer provides decision-support, monitoring, and facilitation without sovereign power. The manuscript contribut...

Quantifying Humankind’s Survival Probability, 2026 by D. Conterno (2026)

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  Quantifying Humankind’s Survival Probability, 2026 by D. Conterno (2026)   Document status: Conscious Enterprises Network (CEN) internal analytic assessment. Probability values are CEN working estimates; underlying factual statements are sourced where possible.   Executive Summary This 2026 update revises Conscious Enterprises Network (CEN)’s 20-year survival assessment in light of intensified conflict dynamics, including renewed Middle East escalation risk centred on Iran. After recalibrating the baseline hazard ledger and mitigation levers, CEN assigns the period 2026-2046 a mid-range survival probability of 30 percent (uncertainty band: 28-32 percent), representing a further decline from the May 2025 addendum estimate of 37 percent. The primary drivers of deterioration are (1) an increased assessed likelihood of major interstate war associated with the June 2025 Israel-Iran war, U.S. strikes on Iranian nuclear facilities, and January 2026 signalling aroun...