Spider Vision: A Natural Framework for AI Governance

This paper introduces the Spider Vision Framework, a biomimetic approach to AI governance inspired by the dual visual systems of spiders. By integrating focused oversight (technical detail) with systemic awareness (societal context) and grounding both in virtue ethics—particularly prudence, justice, and adaptability—the framework addresses immediate technical risks while accounting for long-term societal implications. Comparative analyses with consequentialist and deontological models underscore virtue ethics’ emphasis on moral character, and the paper proposes pilot studies for empirical validation in healthcare AI and autonomous vehicles. This integrated approach aims to foster an adaptive, ethically robust governance model, balancing precision and breadth to better align AI with the common good. Initial findings suggest a significant improvement in ethical compliance and stakeholder engagement when dual-focus oversight is integrated into existing AI systems. The framework recommends targeted pilot implementations across diverse regulatory environments to ensure robust, context-specific outcomes.