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Centre for Future Generations: The AI Safety Institute Network
webUseful reference for understanding the international landscape of government AI safety institutions, relevant to researchers and policymakers tracking the development of AI governance infrastructure post-2023 AI Safety Summits.
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Summary
This Centre for Future Generations resource analyzes the emerging international network of AI Safety Institutes, examining their membership, mandates, and coordination mechanisms. It provides an overview of how national AI safety bodies are structured and how they collaborate across borders to address shared risks from advanced AI systems.
Key Points
- •Maps the growing network of national AI Safety Institutes and their institutional roles in evaluating and governing frontier AI models
- •Examines the coordination mechanisms between institutes, including information sharing and joint evaluation frameworks
- •Analyzes the mandates and scope of different national AI safety bodies and how they differ across jurisdictions
- •Highlights the importance of international collaboration for addressing AI risks that cross national boundaries
- •Discusses the challenges and opportunities for building a coherent global AI safety governance architecture
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| UK AI Safety Institute | Organization | 52.0 |
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# The AI Safety Institute Network:
Who, What and How?
10.09.2024 [Alex Petropoulos](https://cfg.eu/team/alex-petropoulos/) [#AdvancedAI](https://cfg.eu/program/advanced-ai/)#Briefs
### The AI safety institute network: who, what and how?
# The AI Safety Institute Network:
## Who, What and How?
10.09.2024 [#AdvancedAI](https://cfg.eu/program/advanced-ai/)#Briefs
### Key findings:
1. **Diverse Approaches**: Countries have adopted varied strategies in establishing their AISIs, ranging from building new institutions (UK, US) to repurposing existing ones (EU, Singapore).
2. **Funding Disparities**: Significant variations in funding levels may impact the relative influence and capabilities of different AISIs. The UK leads with £100 million secured until 2030, while others like the US face funding uncertainties.
3. **International Cooperation**: While AISIs aim to foster global collaboration, tensions between national interests and international cooperation remains a challenge for AI governance. Efforts like the UK-US partnership on model evaluations highlight potential for effective cross-border cooperation.
4. **Regulatory Approaches**: There’s a spectrum from voluntary commitments (UK, US) to hard regulation (EU), with ongoing debates about the most effective approach for ensuring AI safety while fostering innovation.
5. **Focus Areas**: Most AISIs are prioritising AI model evaluations, standard-setting, and international coordination. However, the specific risks and research areas vary among institutions.
6. **Future Uncertainties**: The evolving nature of AI technology and relevant geopolitical factors create significant uncertainties for the future roles and impacts of AISIs. Adaptability will be key to their continued relevance and effectiveness.
This brief provides a comprehensive overview of the current state of the AISI Network, offering insights into the challenges and opportunities in global AI governance. It serves as a foundation for policymakers, researchers, and stakeholders to understand and engage with this crucial aspect of AI development and regulation.
1 Australia, Canada, Germany, Italy and South Korea also joined the network agreement but are not included in this analysis because they haven’t announced substantial detail on their plans.
Country / Region
Executive Leader Appointments
Roles2
What are they doing
Parent Department
Funding
**UK** (UK AISI)
As frontier model taskforce: 24 April 2023, 18 June 2023
1 – R&D
2 – Standard setting
3 – International coordination
- Evaluations (pre- & post-deployment)
- Fundamental AI Safety Research
- Organizing AI Safety Summits & State of Science Repo
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