Deeply Human and Deeply AI Self-Transcendence: The Potential for Sonic Communication in a Shared Holographic Workspace
Richard Dobson, Pascal Keizer, Dirk K. F. Meijer
Journal of Strategic Innovation and Sustainability April 23, 2026 DOI: 10.33423/fftvn461 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Blueprint Holographic principle Pluralism philosophy Architecture Hierarchy Corporate governance Stakeholder Key lock Cognitive science Epistemology Engineering ethics Artificial intelligence Human–computer interaction Consciousness Vulnerability computing Situation awareness Management science Interdisciplinary studies |
| Key points | Proposes that a multi-layered ethical architecture integrating LIT, LIR, and the VPM can align advanced AI systems with human values in global decision-making. |
Abstract
Robust AI governance is increasingly seen as essential amid ongoing concerns about alignment and safety. This paper proposes a multi-layered ethical architecture to align advanced AI systems with human values in global decision-making. Grounded in Layered Intelligence Theory (LIT) and Logic in Reality (LIR; Brenner, 2008), the framework integrates human and artificial cognition across scales—from individual decisions to planetary collective intelligence. Central to this approach is the Vulnerability–Pluralism Model (VPM; Dobson, 2025), which defines vulnerability as a universal moral baseline and pluralism as the minimum condition for legitimate governance. Embedding this ethic ensures safeguards for vulnerable populations while enabling diverse stakeholder oversight in high-stakes contexts. The framework extends prior work (Dobson & Meijer, 2025; Dobson et al., 2025) that incorporates humanistic principles and cosmological perspectives into AI design. It retains key elements such as LIT, LIR, and the Primordial Acoustic Quantum Code (Meijer, 2024), linking them to ethical challenges at a planetary scale. Overall, it offers a blueprint for dynamic, multi-stakeholder AI governance systems.