ΑΙhub.org
 

UK launches National AI Strategy


by
22 September 2021



share this:

UK National AI strategyImage from UK National AI Strategy. Credit: UK government.

On 22 September 2021, the UK government released its National AI Strategy. According to the document, the new strategy “represents the start of a step-change for AI in the UK, recognising the power of AI to increase resilience, productivity, growth and innovation across the private and public sectors. This is how we will prepare the UK for the next ten years.”

The report is built on the following three assumptions:

  • The key drivers of progress, discovery and strategic advantage in AI are access to people, data, compute and finance – all of which face huge global competition;
  • AI will become mainstream in much of the economy and action will be required to ensure every sector and region of the UK benefit from this transition;
  • Our governance and regulatory regimes will need to keep pace with the fast-changing demands of AI, maximising growth and competition, driving UK excellence in innovation, and protecting the safety, security, choices and rights of our citizens.

These lead to three key aims for the strategy, which are covered in detail within the report:

  1. Invest and plan for the long-term needs of the AI ecosystem
  2. Support the transition to an AI-enabled economy
  3. Ensure the UK gets the national and international governance of AI technologies right

A summary of key actions for the months ahead are laid for each of these three sections.

Read the strategy document in full

National AI Strategy – PDF
National AI Strategy – HTML
National AI Strategy – mobile version




AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:


Related posts :



Interview with Kayla Boggess: Explainable AI for more accessible and understandable technologies

  14 Feb 2025
Hear from Doctoral Consortium participant Kayla about her work focussed on explanations for multi-agent reinforcement learning, and human-centric explanations.

The Machine Ethics podcast: Running faster with Enrico Panai

This episode, Ben chats to Enrico Panai about different aspects of AI ethics.

Diffusion model predicts 3D genomic structures

  12 Feb 2025
A new approach predicts how a specific DNA sequence will arrange itself in the cell nucleus.

Interview with Kunpeng Xu: Kernel representation learning for time series

  11 Feb 2025
We hear from AAAI/SIGAI doctoral consortium participant Kunpeng Xu.

The Children’s AI Summit – an event from The Turing Institute

  10 Feb 2025
Find out more about this event held ahead of the Paris AI Action Summit.
coffee corner

AIhub coffee corner: Bad practice in the publication world

  07 Feb 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Explained: Generative AI’s environmental impact

  06 Feb 2025
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Interview with Nisarg Shah: Understanding fairness in AI and machine learning

  05 Feb 2025
Hear from the winner of the 2024 IJCAI Computers and Thought Award.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association