Strategic perspectives on long-term AI governance: Introduction

Abstract

The Long-term AI Governance community aims to shape the development and deployment of advanced AI–whether understood as Transformative AI (TAI) or as Artificial General Intelligence (AGI)–in beneficial ways. However, there is currently a lack of strategic clarity, with disagreement over relevant background assumptions; what actions to take in the near-term, the strengths and risks of each approach, and where different approaches might strengthen or trade off against one another. This sequence will explore 15 different Strategic Perspectives on long-term AI governance, exploring their distinct assumptions about key strategic parameters that shape transformative AI, in terms of technical landscape and governance landscape; theory of victory and rough impact story; internal tensions, cruxes, disagreements or tradeoffs within the perspective; historical analogies and counter-examples; recommended actions, including intermediate goals and concrete near-term interventions; suitability, in terms of outside-view strengths and drawbacks.