ΑΙhub.org
 

#IJCAI2019 in tweets – tutorials and workshops


by
11 August 2019



share this:


The first two days at IJCAI (International Joint Conference on Artificial Intelligence) in Macau were focussed on workshops and tutorials. Here’s an overview in tweets.

Welcome

Papers

Workshops

AI Multimodal Analytics for Education

SDGs&AI

AI Safety

EduAI

Tutorials
The AI Universe of “Actions”: Agency, Causality, Commonsense and Deception

An Introduction to Formal Argumentation
https://twitter.com/ShohrehHd/status/1160464831251546113

AI Ethics

 
Congratulations to the authors of the announced best workshop papers!

 

 

 

 




Nedjma Ousidhoum is a postdoc at the University of Cambridge.
Nedjma Ousidhoum is a postdoc at the University of Cambridge.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

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.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence