ΑΙhub.org
 

What’s on the programme at #IJCAI2023?


by
17 August 2023



share this:
IJCAI 2023 logo with backdrop of Macao at nighttime

The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) will take place in Macao from 19-25 August 2023. The programme includes plenary talks, workshops, symposia and tutorials. In addition to the main track, there are two special tracks, namely AI for good, and AI, the arts and creativity.

Plenary speakers

There will be nine invited plenary talks at the conference this year.

  • Alex Teytelboym – Refugees.AI: Improving Refugee Resettlement and Humanitarian Parole
  • Pascale Fung – Safer Generative ConvAI
  • Dieter Fox – Toward Foundational Robot Manipulation Skills
  • Mary Lou Maher – Enhancing Human Creativity Through the Synergy of Cognitive and Connectionist Models
  • Noam Brown – CICERO: Human-Level Performance in the Game of Diplomacy by Combining Language Models with Strategic Reasoning
  • Alice Xiang – Mirror, Mirror, on the Wall, Who’s the Fairest of Them All?
  • Sarit Kraus – Human-agent collaboration: facing the challenges of super-intelligent agents
  • Pin-Yu Chen – An Eye for AI: Towards Scientific Approaches for Evaluating and Improving Robustness and Safety of Foundation Models
  • Suchi Saria – Title to be confirmed

Workshops

There are 29 workshops taking place this year:

Symposia

The four symposia are as follows:

Tutorials

The 27 tutorials taking place at this year’s event are:

  • Advances in Optimal Transport-based Machine Learning
  • Deep Reinforcement Learning for Quantitative Trading
  • Moving Beyond Traditional Anomaly Detection
  • Integrated Task and Motion Planning
  • Meaning Representations for Natural Languages: Design, Models and Applications
  • Towards Out-of-Distribution Generalization on Graphs
  • Trustworthy Recommender Systems: Foundations and Frontiers
  • Data-Centric AI: Foundation, Frontiers and Applications in the quest for robust and reliable AI systems
  • Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and Resources
  • Continual Learning and Its Extension to Pre-trained Models
  • Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities
  • Experiments in Computational Social Choice Using Maps of Elections
  • Deep Non-IID Learning
  • Sentiment Analysis and Beyond in the Era of Enlarged Language Models
  • Auditing Bias of Machine Learning Algorithms: Tools and Overview
  • Deep Learning Methods for Unsupervised Time Series Anomaly Detection
  • Reproducible and Efficient Multi-modal Open Retrieval Question Answering
  • The State-of-the-Art and Challenges of Data Stream Clustering Algorithms in Practice
  • Deep Learning in Mathematical Reasoning: Recent Advances and Beyond
  • Graphical Event Models
  • A Hands-on Tutorial for Learning with Noisy Labels
  • Combinatorial Solving with Provably Correct Results
  • Learning from Non-IID Data: Centralized vs. Federated Learning
  • Empathetic Conversational Artificial Intelligence Systems: Recent Advances and New Frontiers
  • Joint Modeling in Recommendations: Foundations and Frontiers
  • Sparse Training for Supervised, Unsupervised, Continual, and Deep Reinforcement Learning with Deep Neural Networks
  • Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding

Find out more



tags:


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

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.
monthly digest

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

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

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

  26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.

The Machine Ethics podcast: moral agents with Jen Semler

In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence