ΑΙhub.org
 

What’s coming up at IJCAI-ECAI 2022?


by
22 July 2022



share this:
IJCAI-ECAI 2022 logo

The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJACI-ECAI 2022) will be held from 23-29 July, in Vienna. This will be primarily an in-person event, with an online component available. The conference will feature workshops and tutorials, keynote speakers, talks, posters, demos, panel discussions, competitions and social events.

Keynote speakers

There are eight keynote speakers:
Gerhard Widmer, AI & Music: On the Role of AI in Studying a Human Art Form
Tim Miller, Are the inmates still running the asylum? Explainable AI is dead, long live Explainable AI!
Pete Wurman, Training the world’s best Gran Turismo racer
Jérôme Lang, From AI to social choice
Sumit Gulwani, AI-assisted programming
Judea Pearl, What is Causal Inference and Where is Data Science Going?
Mihaela van der Schaar, Panning for insights in medicine and beyond: New frontiers in machine learning interpretability
Ana Paiva, Engineering sociality and collaboration in AI systems

Panel discussions

Four panels will be held throughout the week:

  • Digital Humanism – our relationship to technology
  • AI made in Europe – What is it? Is it important?
  • Trustworthy AI for good: Challenges, lessons learnt, and synergies
  • Highly refereed AI conferences

Workshops

Tutorials

The list of tutorials includes AIhub’s very own session on science communication. Our tutorial will take place on Monday 25 July – more information here.

Find out more at the conference website.



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 :

Introducing ARFBench: A time series question-answering benchmark based on real incidents

  18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.

Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

  15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.

Reflections from #AIES2025

and   14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.

Deep learning-powered biochip to detect genetic markers

System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.

Half of AI health answers are wrong even though they sound convincing – new study

  12 May 2026
Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.

Gradient-based planning for world models at longer horizons

  11 May 2026
What were the problems that motivated this project and what was the approach to address them?

It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea

  08 May 2026
Increased offloading to new tools has raised the fear that people will become overly reliant on AI.

Making AI systems more transparent and trustworthy: an interview with Ximing Wen

  07 May 2026
Find out more about Ximing's work, experience as a research intern, and what inspired her to study AI.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence