Executive Summary
This paper applies philosopher Thomas Nagel's distinction between agent-relative and agent-neutral reasons to U.S. AI strategy. It argues that national leaders face a 'strategist's dilemma' where obligations to protect citizens (agent-relative) conflict with universal duties to prevent catastrophic AI harms (agent-neutral). The author proposes a framework where catastrophic risk avoidance has lexical priority, while agent-relative reasons retain moral weight within that safety envelope.
Why It Matters
This document is crucial for defense and geopolitical analysts as it provides a philosophical framework to navigate the complex ethical and strategic tensions in developing national AI policies, balancing national interests with global catastrophic risk prevention. It offers a structured approach to integrate universal safety concerns with sovereign obligations in the context of transformative AI.
Key Takeaways
- U.S. AI strategy must balance agent-relative obligations to citizens with agent-neutral duties to prevent global catastrophic AI harms.
- Catastrophic and irreversible AI risks should have lexical priority, acting as a non-negotiable constraint on permissible national strategies.
- Agent-relative reasons, such as national security and citizen welfare, are morally weighty and provide motivational resources for international cooperation.
- The framework helps clarify the structure of the 'strategist's dilemma' and avoids treating global risk as merely another national interest or national duties as mere political obstacles.
- The tension between agent-neutral and agent-relative reasons maps onto existing debates between the AI safety and national security communities.
Strategic Relevance
This paper offers a critical framework for understanding and formulating national AI strategy, particularly for the U.S. It highlights the inherent tension between national competitive advantage and global catastrophic risk mitigation, proposing a structured approach to decision-making that prioritizes humanity-wide safety while acknowledging sovereign responsibilities. This directly impacts policy formulation, international cooperation, and the ethical deployment of advanced AI systems.