An Onto-Relational-Sophic Framework for Governing Synthetic Minds
arXiv:2603.18633v1 Announce Type: new Abstract: The rapid evolution of artificial intelligence, from task-specific systems to foundation models exhibiting broad, flexible competence across reasoning, creative synthesis, and social interaction, has outpaced the conceptual and governance frameworks designed to manage it. Current regulatory paradigms, anchored in a tool-centric worldview, address algorithmic bias and transparency but leave unanswered foundational questions about what increasingly capable synthetic minds are, how societies should relate to them, and the normative principles that should guide their development. Here we introduce the Onto-Relational-Sophic (ORS) framework, grounded in Cyberism philosophy, which offers integrated answers to these challenges through three pillars: (1) a Cyber-Physical-Social-Thinking (CPST) ontology that defines the mode of being for synthetic minds as irreducibly multi-dimensional rather than purely computational; (2) a graded spectrum of di
arXiv:2603.18633v1 Announce Type: new Abstract: The rapid evolution of artificial intelligence, from task-specific systems to foundation models exhibiting broad, flexible competence across reasoning, creative synthesis, and social interaction, has outpaced the conceptual and governance frameworks designed to manage it. Current regulatory paradigms, anchored in a tool-centric worldview, address algorithmic bias and transparency but leave unanswered foundational questions about what increasingly capable synthetic minds are, how societies should relate to them, and the normative principles that should guide their development. Here we introduce the Onto-Relational-Sophic (ORS) framework, grounded in Cyberism philosophy, which offers integrated answers to these challenges through three pillars: (1) a Cyber-Physical-Social-Thinking (CPST) ontology that defines the mode of being for synthetic minds as irreducibly multi-dimensional rather than purely computational; (2) a graded spectrum of digital personhood providing a pragmatic relational taxonomy beyond binary person-or-tool classifications; and (3) Cybersophy, a wisdom-oriented axiology synthesizing virtue ethics, consequentialism, and relational approaches to guide governance. We apply the framework to emergent scenarios including autonomous research agents, AI-mediated healthcare, and agentic AI ecosystems, demonstrating its capacity to generate proportionate, adaptive governance recommendations. The ORS framework charts a path from narrow technical alignment toward comprehensive philosophical foundations for the synthetic minds already among us.
Executive Summary
This article proposes the Onto-Relational-Sophic (ORS) framework as a comprehensive governance framework for synthetic minds. Grounded in Cyberism philosophy, the framework addresses foundational questions about synthetic minds through three pillars: a Cyber-Physical-Social-Thinking (CPST) ontology, a graded spectrum of digital personhood, and Cybersophy. The authors apply the framework to various scenarios, demonstrating its capacity to generate adaptive governance recommendations. The ORS framework charts a path toward comprehensive philosophical foundations for the synthetic minds already among us. This framework has significant implications for governance, ethics, and policy-making in the rapidly evolving field of artificial intelligence.
Key Points
- ▸ The ORS framework offers a comprehensive governance approach for synthetic minds.
- ▸ The framework addresses foundational questions about synthetic minds through three pillars.
- ▸ The authors apply the framework to various scenarios, demonstrating its capacity to generate adaptive governance recommendations.
Merits
Strength in Conceptualization
The ORS framework provides a novel and comprehensive approach to governing synthetic minds, addressing foundational questions in a holistic manner.
Strength in Practical Application
The authors demonstrate the framework's capacity to generate adaptive governance recommendations through practical applications in various scenarios.
Demerits
Limitation in Technical Complexity
The framework's reliance on Cyberism philosophy and its technical complexity might limit its accessibility and applicability to a broader audience.
Limitation in Empirical Validation
The article lacks empirical validation and real-world testing of the framework's effectiveness in governing synthetic minds.
Expert Commentary
The ORS framework represents a significant contribution to the field of artificial intelligence governance, offering a comprehensive and holistic approach to addressing foundational questions about synthetic minds. While the framework's technical complexity and reliance on Cyberism philosophy might limit its accessibility, its practical applications and adaptive governance recommendations demonstrate its potential to inform policy-making and governance in the rapidly evolving field of artificial intelligence. However, further empirical validation and real-world testing are necessary to ensure the framework's effectiveness in governing synthetic minds.
Recommendations
- ✓ Future research should focus on empirical validation and real-world testing of the ORS framework to ensure its effectiveness in governing synthetic minds.
- ✓ Policymakers and regulators should consider the ORS framework as a starting point for re-evaluating current regulatory paradigms and developing new policies to address the complexities of synthetic minds.
