What’s on the programme at #ECAI2024?

The 27th European Conference on Artificial Intelligence (ECAI-2024) will take place from 19-24 October in Santiago de Compostela, Spain. The event will feature a full programme of technical papers, keynote talks, workshops and tutorials, invited talks, panels and special sessions. The venue will also host the 13th Conference on Prestigious Applications of Intelligent Systems (PAIS-2024).

Keynote speakers

There will be four keynote talks at the conference this year.

• Iryna Gurevych – Towards Real-World Fact-Checking with Large Language Models
• Marijn Heule – Solving Mathematical Challenges with Symbolic AI
• César A. Hidalgo – Economic Complexity: Using Machine Learning to Understand the Past, Present, and Future of Economic Development
• Iolanda Leite – Robots (Still) Need Humans in the Loop

PAIS invited speaker

• Nirmalie Wiratunga – Intelligent Sharing of Explanation Experience by Users for Users: Case-Based Reasoning for Explanation Strategy Reuse

Panels and special sessions

The conference will feature several panels and special sessions on topics that are of broad interest to members of the AI research community.

• 50th Anniversary Session on the History of AI in Europe
• Panel on the Economic Impact of AI: Threats and Opportunities
• Panel on AI Regulation: The European Scenario
• Panel on the Future of AI: The Next 50 Years
• Panel on AI Conference Policies
• Designing Ethical and Trustworthy AI Research Policies for Horizon Europe
• Funding your Scientific Research with the European Research Council (ERC)

Frontiers in AI – invited talks

“Frontiers in AI” is a series of short invited talks by members of the AI community currently doing particularly exciting and innovative work. The idea is to highlight important new results, techniques, and trends.

• José Hernández-Orallo – Caveats and Solutions for Characterising General-Purpose AI
• María Vanina Martinez – Back to the Future: Symbolic Reasoning to Combat the Malicious Use of Social Media
• Marco Montali – AI for Declarative Processes: Representation, Mining, Synthesis
• Ana Ozaki – Actively Learning from Machine Learning Models with Queries and Counterexamples
• Dominik Peters – Proportional Representation for Artificial Intelligence
• Roxana Rădulescu – The World is a Multi-Objective Multi-Agent System: Now What?
• Jendrik Seipp – Dissecting Scorpion: Ablation Study of an Optimal Classical Planner
• Tomasz Trzciński – Zero-Waste Machine Learning

Workshops

The workshops will take place on 19-20 October, before the main technical programme commences.

• International Workshop on AI in Education and Educational Research (AIEER)
• Workshop on Intelligent Management Information Systems (IMIS)
• Workshop on Social Choice for AI Ethics and Safety 2024 Europe (SC4AI’24e)
• Workshop on Weakly Supervised and Cautious Learning: Bridging Machine Learning and Uncertainty Management (WSCL)
• Workshop on Highlights of Reasoning about Actions, Planning and Reactive Synthesis (ActSynt)
• Workshop on Implementing AI Ethics through a Behavioural Lens (AIEB)
• Workshop on AI in Finance (AIFin)
• Workshop on AI for Understanding the Ocean and Climate Change (AIMOCC)
• Workshop on the European AI-on Demand Platform: Applications, Services and Demonstrations (AIOD)
• 4th Workshop on Agents and Robots for Reliable Engineered Autonomy (AREA)
• 13th International Workshop on Agents in Traffic and Transportation (ATT)
• Workshop on Classifier Learning From Difficult Data (CLD2)
• 2nd Workshop on Data Fusion for Artificial Intelligence (DAFUSAI)
• 4th Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI IV)
• Workshop on Evolutionary Dynamics in Social, Cooperative and Hybrid AI (EDAI)
• 12th Workshop on “What can FCA do for Artificial Intelligence?” (FCA4AI)
• Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0)
• 3rd International Workshop on Process Management in the AI Era (PMAI)
• Workshop on Qualitative Reasoning (QR)
• Workshop on AI Value Engineering and AI Compliance Mechanisms (VECOMP)
• Workshop on Multimodal, Affective, and Interactive Explainable AI (MAI-XAI)
• Workshop on Automated Machine Learning (AutoML)
• Workshop on Adjustable Autonomy and Physical Embodied Intelligence (AAPEI)
• 2nd Workshop on Fairness and Bias in AI (AEQUITAS)
• Workshop on Artificial Intelligence in Supply Chain Management (AISUCMA)
• The First Workshop on Natural Language Argument-Based Explanations (ArgNLE)
• Workshop on Countering Disinformation with Artificial Intelligence (CODAI)
• Workshop on Composite AI (CompAI)
• Workshop on Artificial Intelligence and Creativity (CREAI)
• Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED)
• 3rd International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning (HYDRA)
• Workshop on Language Understanding in the Human-Machine Era (LUHME)
• 15th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF)
• Machine Learning Meets Differential Equations: From Theory to Applications (ML-DE)
• Workshop on Multi-Objective Decision Making 2024 (MODeM)
• Workshop on Trustworthy Sequential Decision-making and Optimization (TSDO)
• Workshop on the History of AI in Europe (WHAI@EU)
• First workshop on eXtended Reality & Intelligent Agents (XRIA)

Tutorials

The tutorials will also be held on 19-20 October.

• Referring Expressions in Artificial Intelligence and Knowledge Representation Systems
• Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
• How do you Construct a Knowledge Graph?
• Causal Fairness Analysis
• Beyond Trial & Error: A Tutorial on Automated Reinforcement Learning
• The Epistemology of Machine Learning: Induction, Causality, Explanation
• The Symbiosis of Neural Networks and Differential Equations: From Physics-Informed Neural Networks to Neural ODEs
• Fairness in repeated uses of AI systems
• A multi-view panorama of Data-Centric AI: Techniques, Tools, and Applications
• Play and Persuade: An Interactive Exploration of Argumentation
• A journey in the land of explainable AI (beautiful landscapes, horrendous pits and everywhere in between)
• Tutorial on Improving Deep Learning by Exploiting Synthetic Images
• Boosting ontology conceptualization with Chowlk
• Automated Task Planning: towards Multi-Agent, Flexible, Temporal, Epistemic and Contingent models
• Agent AI for Finance: From Financial Argument Mining to Agent-Based Modeling
• Automated Verification of Multi-Agent Systems: From Theory to Practice, Made Easy
• Belief Change: Introduction and Overview
• Explainable Constraint Solving: A Hands-on tutorial
• Talking to journalists about AI
• Quantum Annealing for Constraint Satisfaction and Constrained Optimization
• Formal Methods in Answer Set Programming
• Quantum Artificial Intelligence: Genesis, State of the Art and Perspectives
• Multi-Objective Multi-Agent Learning: Evolutionary and Reinforcement Learning Perspectives

View the main conference page here.

Lucy Smith , Managing Editor for AIhub.

Lucy Smith , Managing Editor for AIhub.