Expert Survey: AI Reliability & Security Research Priorities
This work addresses the urgent need for reliable and secure AI systems to prevent harms and ensure benefits, providing a data-driven ranking to inform resource allocation decisions.
The study surveyed 53 specialists across 105 AI reliability and security research areas to identify and rank the most promising research priorities, aiming to guide strategic R&D investment for safe AI development.
Our survey of 53 specialists across 105 AI reliability and security research areas identifies the most promising research prospects to guide strategic AI R&D investment. As companies are seeking to develop AI systems with broadly human-level capabilities, research on reliability and security is urgently needed to ensure AI's benefits can be safely and broadly realized and prevent severe harms. This study is the first to quantify expert priorities across a comprehensive taxonomy of AI safety and security research directions and to produce a data-driven ranking of their potential impact. These rankings may support evidence-based decisions about how to effectively deploy resources toward AI reliability and security research.