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:


Related posts :



Keeping learning-based control safe by regulating distributional shift

We propose a new framework to reason about the safety of a learning-based controller with respect to its training distribution.
30 September 2022, by

Bipedal robot achieves Guinness World Record in 100 metres

Cassie the robot, developed at Oregon State University, records the fastest 100 metres by a bipedal robot.
29 September 2022, by

#IJCAI2022 distinguished paper – Plurality veto: A simple voting rule achieving optimal metric distortion

How can we create a voting system that best represents the preferences of the voters?
28 September 2022, by

AIhub monthly digest: September 2022 – environmental conservation, retrosynthesis, and RoboCup

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
27 September 2022, by

The Machine Ethics Podcast: Rights, trust and ethical choice with Ricardo Baeza-Yates

Host Ben Byford chats to Ricardo Baeza-Yates about responsible AI, the importance of AI governance, questioning people's intent to create AGI, and more.
26 September 2022, by

Recurrent model-free RL can be a strong baseline for many POMDPs

Considering an approach for dealing with realistic problems with noise and incomplete information.
23 September 2022, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association