What’s on the programme at #IJCAI2023?

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:

• International Workshop on Trustworthy Federated Learning
• The 9th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2023) Special Edition on Deep Learning Methods for Social Media Mining
• 14th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2023)
• 2nd Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML@IJCAI2023)
• The Joint Workshop of the 5th Financial Technology and Natural Language Processing (FinNLP) and 2nd Multimodal AI For Financial Forecasting (MUFFIN)
• 2nd Process Management in the AI Era (PMAI)
• AiOfAi 2023: 3rd Workshop on Adverse Impacts and Collateral Effects of AI Technologies
• The 1st International Workshop on Knowledge-Based Compositional Generalization (KBCG)
• Second International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023)
• IJCAI 2023 Workshop on Deepfake Audio Detection and Analysis (DADA 2023)
• Sixth Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
• AI for Digital Twins and Cyber-Physical applications (AI4DT&CP)
• The 2nd International Workshop on Democracy and AI
• 1st International Workshop on Generalizing from Limited Resources in the Open World
• NSA: Neuro-Symbolic Agents
• AISafety and SafeRL Joint Workshop
• First International Workshop on Search and Planning with Complex Objectives
• What can FCA do for Artificial Intelligence? (Eleventh Workshop Edition)
• Auto-Mates: The Future of No-Code Digital Apprentices
• Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches
• Intelligent Technologies for Precision Sports Science (IT4PSS)
• 1st Workshop on Multi-Agent Systems Strategies for Sustainable Intelligent Extraterrestrial Settlements (MASS)
• Knowledge Discovery from Healthcare Data VI
• Explainable AI (XAI)
• First IJCAI Workshop on Computational Fair Division
• IJCAI 2023 Workshop on Bridge-AI: from Climate Change to Health Equity
• The Second Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications
• The 3rd AI for Ageless Aging Workshop (AIAA)
• Micro-gesture Analysis for Hidden Emotion Understanding

Symposia

The four symposia are as follows:

• International Symposium of Advances and Open Problems in Large Language Models (LLM23)
• International Symposium on Large Language Models for Financial Services (FinLLM 2023)
• International Symposium on Multimodal Reasoning: Techniques, Applications, and Challenges (MMR 2023)
• Symposium on Large Language Models (LLM 2023)

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

• The conference webpage
• The full schedule
• Accepted papers in the following tracks
  • Main track
  • Special track on AI for good
  • Special track on AI, the arts and creativity
  • Survey track
  • Journal track
  • Best papers from sister conferences track
• Early career track
• Competitions and challenges
• Demonstrations track
• Doctoral consortium track

Lucy Smith , Managing Editor for AIhub.

Lucy Smith , Managing Editor for AIhub.