POLICY UPDATES

The AI Safety Summit brings together key countries, as well as leading technology organisations, academia and civil society to inform rapid national and international action at the frontier of AI development.

The summit forms part of the UK government’s wider commitment to being a global AI leader and a Science and Tech Superpower. We will keep pace with its constant evolution, harness its potential to enhance our lives, be a thought leader on its safe deployment, and foster the tech talent and skills in the UK needed to support our aims. To achieve this, we have:

Published the pro-innovation AI Regulation White Paper in March 2023 for consultation. We heard from over 400 individuals and organisations during the consultation and will be publishing the government response to the consultation later this year, to ensure we can take into account the outcomes of the AI Safety Summit.
Established the Frontier AI Taskforce, chaired by Ian Hogarth, to advance the sociotechnical research that will underpin frontier AI governance.
Invested £2.5 billion in AI since 2014, including £900 million announced in March 2023 for a new AI Research Resource and exascale compute capacity. This includes Bristol’s Isambard-AI, expected to be one of Europe’s most powerful supercomputers.
Announced £100m for BridgeAI – a programme that will seek to drive use of AI in low-adoption sectors, such as construction, agriculture and creative industries.
Invested £290M in a broad package of AI skills initiatives to address the skills gap, support citizens and businesses to take advantage of AI technologies, and drive economic growth.
Committed to drive the responsible adoption of AI to deliver world-class public services, through a whole government approach as set out in the National AI Strategy.

Updates, outcomes, and detailed information about summit policy, and broader government action on how we can make the most of AI, is set out below.

UK GOVERNMENT UPDATES

AI Safety Summit 2023: Roundtable Chair's Summaries, 2 November

A summary of the discussions which took place at the AI Safety Summit at Bletchley Park.

03 November 2023

AI Safety Summit 2023: Chair’s statement – state of the science, 2 November

The Chair’s statement on a ‘State of the Science’ Report to understand the capabilities and risks of Frontier AI.

02 November 2023

AI Safety Summit 2023: Chair’s statement – safety testing, 2 November

The Chair’s statement on session outcomes from the discussion on safety testing.

02 November 2023

AI Safety Institute: overview

An introduction to the AI Safety Institute, the first state-backed organisation focused on advanced AI safety for the public interest.

02 November 2023

AI Safety Summit 2023: Chair’s statement, 2 November

The Chair’s summary of the discussions which took place at the AI Safety Summit at Bletchley Park

02 November 2023

AI SAFETY SUMMIT: ROUNDTABLE CHAIR'S SUMMARIES, 1 NOVEMBER

A summary of the discussions which took place at the AI Safety Summit at Bletchley Park.

01 November 2023

AI SAFETY SUMMIT 2023: THE BLETCHLEY DECLARATION

The Bletchley Declaration by countries attending the AI Safety Summit, 1-2 November 2023

01 November 2023

AI Safety Summit Programme

Programme for the AI Safety Summit 2023, which will take place on the 1 and 2 November at Bletchley Park, Buckinghamshire.

16 October 2023

AI Safety Summit: An Introduction

Information about the scope of the summit, how the summit defines Frontier AI, and stakeholder and public engagement plans.

25 September 2023

Written Ministerial Statement on AI

A Written Ministerial Statement by the Secretary of State (Department for Science, Innovation and Technology) providing an update on the UK Government’s AI policies.

19 September 2023

Frontier AI Task Force - Progress Report

The first progress report of the UK Government’s Frontier AI Taskforce on its work to build an AI research team that can evaluate risk at the frontier of AI.

7 September 2023

White Paper - A Pro-Innovation Approach to AI Regulation

A White Paper detailing the UK Government’s proposal for a pro-innovation AI regulatory framework.

3 August 2023

Centre for Data Ethics & Innovation - AI assurance techniques portfolio

A portfolio of AI assurance techniques, developed by the CDEI as a resource for the designing, developing, deploying and procuring of AI-enabled systems.

7 June 2023

The UK Science & Technology Framework

The UK Government’s framework setting out its strategic vision for Science & Technology.

6 March 2023

AI Standards Hub

The AI Standards Hub is an initiative supported by the UK Government dedicated to the evolving and international field of standardisation for AI technologies.

AI Action Plan

The AI Action Plan outlines the activities being taken by each government department to advance the government’s National AI Strategy and cement the UK’s position as an AI leader.

18 July 2022

National AI Strategy

The UK Government’s 10 year plan for promoting AI in the UK.

22 September 2021

COMPANY POLICIES

The UK recognises the enormous opportunities that AI can unlock across our economy and our society. However, without appropriate guardrails, such technologies can pose significant risks. Frontier AI organisations play an important role in addressing these risks and promoting the safety of the development and deployment of frontier AI.

Ahead of the AI safety summit we requested that several leading AI companies outline their AI Safety Policies across nine areas of AI Safety:

Responsible Capability Scaling provides a framework for managing risk as organisations scale the capability of frontier AI systems, enabling companies to prepare for potential future, more dangerous AI risks before they occur
Model Evaluations and Red Teaming can help assess the risks AI models pose and inform better decisions about training, securing, and deploying them
Model Reporting and Information Sharing increases government visibility into frontier AI development and deployment and enables users to make well-informed choices about whether and how to use AI systems
Security Controls Including Securing Model Weights are key underpinnings for the safety of an AI system
Reporting Structure for Vulnerabilities enables outsiders to identify safety and security issues in an AI system
Identifiers of AI-generated Material provide additional information about whether content has been AI generated or modified, helping to prevent the creation and distribution of deceptive AI-generated content
Prioritising Research on Risks Posed by AI will help identify and address the emerging risks posed by frontier AI
Preventing and Monitoring Model Misuse is important as, once deployed, AI systems can be intentionally misused for harmful outcomes
Data Input Controls and Audits can help identify and remove training data likely to increase the dangerous capabilities their frontier AI systems possess, and the risks they pose

The publication of companies’ AI Safety Policies will help drive transparency regarding how companies are putting into practice AI safety commitments and enable the sharing of safety good practices within the AI ecosystem.

The Government’s Emerging Processes for Frontier AI Safety complements companies’ safety policies by providing a potential list of frontier AI organisations’ safety policies. This is intended to be an early contribution to the discussion and will need updating regularly given the emerging nature of this technology.