This strategy has 2 objectives.

• To develop frontier capability in AI-driven science. – The companies and researchers developing general-purpose AI science tools and building autonomous lab infrastructure are transforming the process of discovery. It is a crucial strategic area to build UK capacity.
• To ensure the UK retains its position of global scientific leadership. The integration of AI into science is going to reshape the national and global research landscape. We must adapt to this transformation of science to create growth and capture the benefits for public good.

Review by the Government Chief Scientific Adviser and the National Technology Adviser to explore the barriers to adoption of transformative technologies. The Technology Adoption Review (“the Review”) explores the barriers hindering the adoption of transformative digital technologies in the private sector.

This report analyses AI upskilling needs, barriers and opportunities across 10 growth sectors, and introduces tools to support employers and training providers.

Government response to the Call for Views on the Cyber Security of AI

Presented to Parliament

by the Secretary of State for Science, Innovation and Technology

by Command of His Majesty

January 2025

This Report examines domestic and international developments in the governance and
regulation of AI since the publication of the interim Report. It also revisits the Twelve
Challenges of AI Governance we identified in our interim Report and suggests how they
might be addressed by policymakers. The conclusions and recommendations apply to
whoever is in Government after the General Election.

The CMA launched its AI Foundation Models: initial review in May 2023. We published our initial report in September 2023, in which we proposed principles to guide the development and deployment of FMs to positive outcomes for competition and consumer protection.

Following extensive engagement and our ongoing monitoring of market developments, this update paper:

• provides an overview and discussion of key changes in the FM sector since the publication of our initial report
• confirms final principles for guiding the market to positive outcomes for competition and consumer protection
• sets out risks to competition and consumer protection, including three key risks to fair, open and effective competition that we see arising from current and potential developments in the FM sector, assessing how they would be mitigated by the CMA’s principles and identifying the actions we are taking now, and are considering taking in the near future to seek to address these risks
• outlines the next steps for the CMA’s AI FM programme of work

In addition to the above, the technical update report also includes more detail on market developments and feedback received from stakeholders as part of this phase of our work.

A report on the state of advanced AI capabilities and risks – written by 100 AI experts including representatives nominated by 33 countries and intergovernmental organisations.

The International AI Safety Report is the world’s first comprehensive synthesis of current literature of the risks and capabilities of advanced AI systems. Chaired by Turing-award winning computer scientist, Yoshua Bengio, it is the culmination of work by 100 AI experts to advance a shared international understanding of the risks of advanced Artificial Intelligence (AI).

The Chair is supported by an international Expert Advisory Panel made up of representatives from 30 countries, the United Nations (UN), European Union (EU), and Organization for Economic Cooperation and Development (OECD).

The report does not make policy recommendations. Instead it summarises the scientific evidence on the safety of general-purpose AI to help create a shared international understanding of risks from advanced AI and how they can be mitigated. General-purpose AI – or AI that can perform a wide variety of tasks – is a type of AI that has advanced rapidly in recent years and is widely used by technology companies for a range of consumer and business purposes.

The report is concerned with AI risks and AI safety and focuses on identifying these risks and evaluating methods for mitigating them. It summarises the scientific evidence on 3 core questions – What can general-purpose AI do? What are risks associated with general-purpose AI? and What mitigation techniques are there against these risks? and aims to:

• provide scientific information that will support informed policymaking – it does not recommend specific policies
• facilitate constructive and evidence-based discussion about the uncertainty of general-purpose AI and its outcomes
• contribute to an internationally shared scientific understanding of advanced AI safety

The report was written by a diverse group of academics, guided by world-leading experts in AI. There was no industry or government influence over the content. The secretariat organised a thorough review, which included valuable input from global civil society and industry leaders. The Chair and writers considered all feedback and included it where needed.

The report will be presented at the AI Action Summit in Paris in February 2025. An interim version of this report was published in May 2024 and presented at the AI Seoul Summit.

Recommendations for the government to capture the opportunities of AI to enhance growth and productivity and create tangible benefits for UK citizens. From the Department of Science, Innovation and Technology.

The AI Opportunities Action Plan, led by Matt Clifford CBE, tech entrepreneur and Chair of the Advanced Research and Invention Agency (ARIA).

This document has 50 recommendations for government to:

• grow the UK’s AI sector
• drive adoption of AI across the economy to boost growth
• improve products and services

Read the government response to the AI Opportunities Action Plan.

The AI Opportunities Action Plan is a roadmap for government to capture the opportunities of AI to enhance growth and productivity and create tangible benefits for UK citizens.

The 2024 Index is the most comprehensive to date and arrives at an important moment when AI’s influence on society has never been more pronounced. This year, the report has broadened its scope to more extensively cover essential trends such as technical advancements in AI, public perceptions of the technology, and the geopolitical dynamics surrounding its development. Featuring more original data than ever before, this edition introduces new estimates on AI training costs, detailed analyses of the responsible AI landscape, and an entirely new chapter dedicated to AI’s impact on science and medicine. The AI Index report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data in order for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.

In the midst of all the technological advancements happening today, one term has taken over almost every discourse about technology: artificial intelligence (AI). Once a thrilling notion for Sci-Fi movies, AI is now an indisputable reality, and it has taken multiple industries by storm. From Large Language Models (LLMs) enabling fantastic chatbots like ChatGPT to Internet-of-Things (IoT) devices bringing about Industry 4.0, AI has found applications and use cases across almost every modern industry. While the majority of AI implementations have taken place centrally on cloud servers, there has been a strong pursuit for intelligence to be deployed locally at the edge.

Artificial intelligence at the edge is referred to as Edge AI, and it is the convergence of AI model deployment with edge computing. By bringing computational power closer to the data source, Edge AI offers real-time data processing on edge devices with reduced latency, higher bandwidth efficiency, enhanced reliability, and more robust security and privacy. This has the potential to propel AI capabilities beyond its current centralized, cloud-based structure. As the adoption of Edge AI continues to grow almost exponentially, we will witness a paradigm shift in how businesses deploy and utilize AI, especially with edge computing decentralizing data processing.

Industries that require real-time data processing capabilities are the primary industries in Edge AI’s scope of impact and are expected to experience a radical transformation as a result. Embracing this dramatic shift is essential for businesses that seek to stay ahead of the competition and leverage the benefits of real-time, context-aware decision-making. But knowing that Edge AI impacts every industry differently, how can a business in a specific industry embrace this technology to ensure it keeps pace with its rapid evolution?

Accordingly, Wevolver has partnered with several major companies and thought leaders in this space to produce this holistic report on the state of Edge AI in 2024 and its applications in every relevant industry, from healthcare to industrial IoT and manufacturing, smart cities, retail, energy, agriculture, and automotive. Each industry is covered by a dedicated chapter that provides industry-specific insights, descriptions, and examples, complemented by featured sections of real-world case studies. The report also provides a peek into the exciting generative AI technology and its convergence with edge computing before delving into the challenges still hindering Edge AI today. Finally, it gives a glimpse into the future of Edge AI and how it will develop in the years to come.

Report Highlights:

• #1: Industry-specific insights– Each industry is covered by a dedicated chapter that provides industry-specific insights, descriptions, and examples. ,

• #2: Real-life case studies – Get comprehensive insights from featured sections of real-world case studies.

• #3: A look into the future – The report also provides a peek into the exciting generative AI technology and its convergence with edge computing before delving into the challenges still hindering Edge AI today.