ΑΙhub.org
 

Launching AIhub.org – Our journey bringing together leading organisations to improve understanding of Artificial Intelligence


by and
27 January 2020



share this:


Four years ago, we (Tom Dietterich and Sabine Hauert) met at AAAI and started a discussion about how we could improve public understanding of artificial intelligence. Tom was leading AAAI at the time, and I had just published an article in Science on how researchers could engage in the public discussion about AI. From this conversation, we set out to build AIhub.org, a non-profit dedicated to connecting the AI community to the public. AIhub.org will host daily updates about the latest news, opinions, tutorials, and events in artificial intelligence. All information is produced by those working directly in the field, without filter or intermediary.

By providing free, high-quality information about AI, AIhub.org aims to reduce hype and improve understanding in the public, so that everyone can have a meaningful discussion about the deployment of AI in society.

We spent quite some time gathering support from leading AI organisations including AAAI, NeurIPS, IMLS, AIJ/IJCAI, ACM SIGAI, and RoboCup. The new non-profit is set up as an independent Association, called the “Association for the Understanding of Artificial Intelligence”, to ensure fair and impartial coverage of artificial intelligence.

The Association currently includes 10 trustees from around the world and academic specialities, including Tom and me as executive trustees, and Kamalika Chaudhuri (USA), Sanmay Das (USA), Stephen José Hanson (USA), Michael Littman (USA), Michela Milano (IT), Carles Sierra (ES), Oskar von Stryk (DE), Zhi-Hua Zhou (CN). As of this month, we are supported by a full time Managing Editor, Lucy Smith, who has a PhD in Physics and a decade experience as a scientific editor.

Check this website for latest updates, join our mailing-list for the weekly digest, or follow us on twitter, facebook, and linkedIn. And send us your questions, and feedback. We’re building this community to improve communication around AI, and look forward to hearing from you.

Please get in touch if you have any articles, blogs, videos, podcasts, or tutorials you’d like to contribute, we’re here to help.




Sabine Hauert is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org
Sabine Hauert is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org

Thomas G. Dietterich is Distinguished Professor (Emeritus) and Director of Intelligent Systems Institute for Collaborative Robotics and Intelligence Systems (CoRIS) at Oregon State University.
Thomas G. Dietterich is Distinguished Professor (Emeritus) and Director of Intelligent Systems Institute for Collaborative Robotics and Intelligence Systems (CoRIS) at Oregon State University.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

What’s on the programme at #AIES2026?

  12 Oct 2026
The ninth conference on AI, ethics, and society is taking place in Malmö from 12-14 October.

Generative AI has changed mathematics forever. Where to from here?

  12 Oct 2026
Large language models such as ChatGPT and Claude are creating disruptions in all parts of the mathematical community.

Cybersecurity, evolutionary game theory, and AI safety: an interview with Adeela Bashir

  09 Oct 2026
In the latest of our interviews with the IJCAI-ECAI 2026 doctoral consortium participants, we learn about how cybersecurity attack and defence behaviours evolve.

2026 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  08 Oct 2026
We collate our interviews with the 2026 cohort of doctoral consortium participants.

Machine learning for clinical time-series forecasting: an interview with Mayra Elwes

  07 Oct 2026
Our series hearing from the IJCAI-ECAI doctoral consortium participants continues.

Can you teach yourself to detect AI writing? Maybe

  06 Oct 2026
Before generative AI, we could generally assume that written text had been composed by a human. This is no longer the case. So how can we spot AI-written text?

Interview with William Yijiang Li: vision language models and the physical world

  05 Oct 2026
How effective are vision language models at understanding how the physical world changes over time?

Forthcoming machine learning and AI seminars: October 2026 edition

  02 Oct 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence