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.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.

Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti

  08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.

Scaling up multi-agent systems: an interview with Minghong Geng

  07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

  30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence