Understanding the First Wave of AI Safety Institutes: Characteristics, Functions, and Challenges
Renan Araujo, Kristina Fort, Oliver Guest

TL;DR
This paper analyzes the first wave of AI Safety Institutes, highlighting their characteristics, core functions, and challenges, to inform future policy and institutional development in AI safety governance.
Contribution
It provides a detailed description of the first-wave AISIs, identifying their common features, functions, and limitations, offering a foundational understanding of this emerging institutional model.
Findings
First-wave AISIs are technical government bodies focused on AI safety.
They primarily perform research, standards development, and cooperation activities.
Challenges include specialization limitations and potential redundancy with existing institutions.
Abstract
In November 2023, the UK and US announced the creation of their AI Safety Institutes (AISIs). Five other jurisdictions have followed in establishing AISIs or similar institutions, with more likely to follow. While there is considerable variation between these institutions, there are also key similarities worth identifying. This primer describes one cluster of similar AISIs, the "first wave," consisting of the Japan, UK, and US AISIs. First-wave AISIs have several fundamental characteristics in common: they are technical government institutions, have a clear mandate related to the safety of advanced AI systems, and lack regulatory powers. Safety evaluations are at the center of first-wave AISIs. These techniques test AI systems across tasks to understand their behavior and capabilities on relevant risks, such as cyber, chemical, and biological misuse. They also share three core…
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Taxonomy
TopicsEthics and Social Impacts of AI
