ΑΙhub.org
 

AAAI presidential panel – AI reasoning


by
09 January 2026



share this:

This image features 3 images of a street. Overlying the image are different shapes which are arranged to look like QR code symbols. These are in white/blue colours and intersect one another. The first image is clear, but the second is slightly more pixelated, and the final image is very pixelated. Elise Racine & The Bigger Picture / Web of Influence I / Licenced by CC-BY 4.0

In March 2025, the Association for the Advancement of Artificial Intelligence (AAAI), published a report on the Future of AI Research. The report, which was led by outgoing AAAI President Francesca Rossi covers 17 different AI topics and aims to clearly identify the trajectory of AI research in a structured way. As part of this project, members of the report team, and other selected AI practitioners, are taking part in a series of video panel discussions covering selected chapters from the report.

In the third panel, the AI experts tackle the topic of AI reasoning. They consider the definition of reasoning, what reasoning is and what it should be in our AI models, planning techniques, model training, making smart (and not to smart choices) about which AI products to use, guarantees, why we shouldn’t imitate human reasoning in AI models, thinking about the future, and more.

Panel Members

  • Holger Hoos, RWTH Aachen University (Germany) and Universiteit Leiden
  • Subbarao Kambhampati, Arizona State University

Moderator

  • Francesca Rossi, AAAI past president, IBM Fellow and AI Ethics Global Leader


tags: ,


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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

#RoboCup2026 – humanoid league day 2

  03 Jul 2026
Find out the latest from day two of the competition.

#RoboCup2026 – humanoid league day 1

  02 Jul 2026
In the first of our round-ups from the humanoid league we introduce the competition, and report some preliminary results.

Adaptive parallel reasoning: the next paradigm in efficient inference scaling

  02 Jul 2026
A detailed analysis of recent progress in the field of parallel reasoning.

Scientists develop new method to generate protein datasets for training AI

  01 Jul 2026
AI is only as good as the data used to train it, and in some areas of protein engineering, the right data is hard to come by.

What’s coming up at #RoboCup2026?

  29 Jun 2026
Find out what's in store at this year's international competition.

AI model used to generate complete models of proteins in motion

  26 Jun 2026
Researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function.

Three ways to avoid being fooled by AI slop

  24 Jun 2026
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.

Engineering Out Loud: S13E1 – How many robots can a single human supervise?

  22 Jun 2026
Professor Julie Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence