An Onto-Relational-Sophic Framework for Governing Synthetic Minds
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
Record details
Published: 19 March 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Transparency
Retrieved: 14 July 2026
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ethics.ai (19 March 2026), “An Onto-Relational-Sophic Framework for Governing Synthetic Minds,” evidence record 7022, https://ethics.ai/record/7022 (originally published by arXiv).
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