ΑΙhub.org
 

Launch of the AI Standards Hub


by
14 October 2022



share this:
Ai standards hub logo

Wednesday 12 October saw the launch of the UK AI Standards Hub. The aim of the Hub is to help stakeholders across industry, government and regulators, civil society, and academia understand, use, and develop standards. The initiative is led by the Alan Turing Institute in partnership with the British Standards Institution (BSI), the National Physical Laboratory (NPL) and supported by the Department for Digital, Culture, Media and Sport (DCMS) and the Office for AI.

As well as the website, which hosts the Standards Database, policy and research databases, training materials and forums, the Hub initiative will also focus on live events, research and international engagement.

More specifically, the Hub’s activities will fall into these four categories:

  1. Observatory: This comprises the Standards Database, which catalogues relevant published standards and standards development projects, and the Policy Database, with a collection of documents from sources worldwide.
  2. Community and collaboration: A place for the AI Standards community to collaborate through online forums and live events.
  3. Knowledge and training: AI standardisation-focussed training events and e-learning modules.
  4. Research and analysis: The sharing of insights to support a participatory, ethical and coherent global AI standards network.

The official launch event, which took place in person and online, included presentations and interactive discussions with government representatives, the Hub’s partner organisations, and key stakeholders. The recording of this session will be available soon, and at that point we will add the link to this article.

If you are interested in getting involved, you can create a user account to follow standards, participate in discussions, and connect with other community members here.

Find out more

The new AI Standards Hub – what, how and why – a blog post from the AI Standards Hub.



tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.

The malleable mind: context accumulation drives LLM’s belief drift

  09 Mar 2026
LLMs change their "beliefs" over time, depending on the data they are given.

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence