The UK AI Safety Institute — renamed the AI Security Institute (AISI) in 2025 — is a research directorate of the Department for Science, Innovation and Technology that evaluates frontier AI systems and funds external safety research, distinguishing it from the US CAISI’s standards focus, Japan’s non-R&D coordination role, Canada’s CIFAR-administered grants, and the EU AI Office’s regulatory enforcement mandate. For institutions weighing where to seek collaboration or funding for AI safety evaluation work, these differences in remit, funding scale, and academic-access routes are decisive.
The UK AI Safety Institute is one node in a wider “International Network of AI Safety Institutes,” launched at the AI Seoul Summit in May 2024, bringing together technical bodies from the UK, US, Japan, Canada, the EU and other jurisdictions to coordinate — but not centralise — frontier AI risk assessment.
What is the UK AI Safety Institute (AISI) today?
The AI Security Institute is a directorate of the UK’s Department for Science, Innovation and Technology (DSIT), established in November 2023 following the Bletchley Park AI Safety Summit. Its mission, per GOV.UK, is “to minimise surprise to the UK and humanity from rapid and unexpected advances in AI.”
A UK Parliament written statement of February 2025 confirmed the rebrand from “AI Safety Institute” to “AI Security Institute,” sharpening its focus on national-security-relevant risks such as cyber, chemical and biological misuse, alongside broader model evaluation work. The rename matters for researchers: many external directories still index the institute under its original name, which can misdirect funding enquiries.
AISI holds pre-release testing access agreements with Anthropic, Google and OpenAI, and maintains Inspect, an open-source evaluation platform that lets companies, governments and academic teams run standardised AI safety tests without a bespoke agreement with AISI itself.
How do the five institutes’ remits compare?
All five bodies share a broad goal of understanding advanced-AI risk, but their statutory and operational remits diverge sharply — from hands-on evaluation to pure regulation.
- UK AI Security Institute (AISI): evaluates frontier models, runs foundational safety research and grant programmes, and facilitates international information exchange.
- US Center for AI Standards and Innovation (CAISI): sits inside NIST; focuses on testing, standards and national-security assessment. Renamed from “US AI Safety Institute” in 2025, mirroring the UK’s shift.
- Japan AI Safety Institute (J-AISI): explicitly states it is not an R&D organisation; it consolidates evaluation methods and standards from industry and academia as a coordination hub.
- Canada AI Safety Institute (CAISI): advances AI safety science with international partners, focused on synthetic-content risk and systems that could undermine human oversight.
- EU AI Office: sits within the European Commission with an enforcement mandate — it supervises general-purpose AI models under the EU AI Act, the world’s first comprehensive statutory AI framework.
Only the EU AI Office carries binding regulatory enforcement powers; the other four are advisory, evaluative and research-funding bodies without statutory power to compel compliance.
| Institute | Parent body | Core remit | Direct academic funding |
|---|---|---|---|
| UK AI Security Institute | DSIT | Evaluation, foundational safety research | Yes — grants £50,000–£500,000 |
| US CAISI | NIST / Dept. of Commerce | Standards, national-security testing | Limited — collaborative, not grant-led |
| Japan J-AISI | Government-affiliated hub | Coordination, standards consolidation | No — information-sharing role only |
| Canada CAISI | Innovation, Science and Economic Development Canada | Safety science, synthetic-content risk | Yes — via CIFAR-administered CAISI Research Program |
| EU AI Office | European Commission | AI Act enforcement, GPAI supervision | Indirect — via Horizon Europe / Digital Europe |
How is each institute funded?
Funding scale is the clearest differentiator for institutions assessing where a grant application or evaluation partnership is likeliest to land.
The UK AISI traces its funding to a £100 million initial investment behind the Frontier AI Taskforce, its 2023 predecessor body, and now runs the Alignment Project, a global research fund backed by more than £15 million. Grants under its Challenge Fund and Systemic AI Safety Grants typically range from £50,000 to £500,000 per award, open to UK and international applicants.
The US CAISI operates on a comparatively modest footing: an initial budget of roughly $10 million for the 2024/25 fiscal year, with legislative proposals since floated to raise annual funding into the $67–155 million range — proposals, not yet appropriated funding.
Canada’s AI Safety Institute is funded at CA$50 million over five years, of which CA$27 million has been channelled to the Canadian Institute for Advanced Research (CIFAR) to run the CAISI Research Program. Canada has also committed CA$1 million to the UK’s Alignment Project through CIFAR — a direct funding link institutions can leverage for joint bids.
Japan’s J-AISI has not published a standalone budget, consistent with its coordination-only remit rather than direct grant-making. The EU AI Office likewise discloses no ring-fenced budget of its own; EU AI research funding flows through Horizon Europe and the Digital Europe Programme, together worth well over €1 billion annually, of which only a fraction is Office-directed academic work.
How does each body engage external academic researchers?
Engagement models range from direct grant-making to purely consultative input, which changes what “collaboration” actually means for a university research office.
- UK AISI: direct grants to academic institutions and non-profits in the UK and internationally through the Challenge Fund, Systemic AI Safety Grants and the Alignment Project.
- US CAISI: collaborative research relationships with universities to develop guidelines and voluntary standards, rather than large competitive grant rounds.
- Japan J-AISI: partnership and information-sharing with academia and industry, consolidating findings rather than commissioning new funded research.
- Canada CAISI: funding via CIFAR’s Catalyst Projects and Solution Networks, with awards up to CA$70,000 per year for up to two years, plus ties to Canada’s three national AI institutes — Amii, Mila and the Vector Institute.
- EU AI Office: consultative input via the AI Board and a scientific panel of independent experts shaping codes of practice for general-purpose AI models, rather than a competitive grants pipeline.
For a research administration office, this means the UK and Canadian institutes are the two realistic direct-funding routes today; the US, Japanese and EU bodies are better approached as standards-setting or advisory partners than as grant sources.
Common questions
Is the UK AI Safety Institute still called that?
No. The UK AI Safety Institute was renamed the AI Security Institute in 2025, confirmed in a UK Parliament written statement, and the US counterpart was simultaneously renamed the Center for AI Standards and Innovation (CAISI). Both retain their original evaluation and research functions under the new names.
What is the International Network of AI Safety Institutes?
It is a coordination body launched at the AI Seoul Summit in May 2024, joining institutes from the UK, US, Japan, Canada, the EU and other governments. Its first formal meeting took place in November 2024, and it exists to align evaluation methods, not to centralise funding or enforcement power.
How can an academic team apply for UK AISI funding?
UK-based and international researchers can apply through AISI’s Challenge Fund or Systemic AI Safety Grants, with typical awards between £50,000 and £500,000, or through the cross-national Alignment Project, which pools UK and partner-government contributions, including Canada’s CA$1 million pledge via CIFAR.
Does the EU AI Office fund academic AI safety research directly?
Not directly. The EU AI Office is primarily a regulatory and enforcement body for the EU AI Act; academic AI research funding in the EU runs through Horizon Europe and the Digital Europe Programme, with the Office instead offering academics a consultative seat via its scientific panel and the AI Board.
What this means for institutions seeking partnerships
Research administration offices scoping AI safety evaluation collaborations should match their proposal to the right model rather than assuming one “AI Safety Institute” template applies globally. A UK or Canadian bid should target a named grant scheme with a defined award range; a US, Japanese or EU approach should be framed as standards-development or advisory input instead.
Because only the UK and Canadian institutes run competitive, named academic grant programmes — and already share a funding link through CIFAR and the Alignment Project — joint UK–Canada bids are, as of mid-2026, the most concrete route into public frontier-AI-safety funding for external academic groups. The EU AI Office’s enforcement powers will likely reshape this landscape as AI Act obligations mature, but its funding role stays structurally indirect for now. Institutions should track each institute’s funding cycle separately rather than treat the international network as one funding body.