ECAI welcomes submissions on any topic in AI. The list of topics on this page provides an indication of what we typically would expect to see at ECAI. We will use this list to help with matching submissions to reviewers.
As a PC member, on EasyChair, please select the topics for which you would be happy to receive papers for evaluation. As an author, at submission time, please select topics that describe your paper well (or that identify areas of expertise you would hope some of your reviewers will have). You can select topics from more than one of the topic areas below. For both PC members and authors, selecting somewhat more topics than strictly required very likely will improve the quality of your assignment.
Fairness, Ethics, and Trust
Accountability
AI in Law, Justice, Regulation, and Governance
AI for Social Good
Consciousness and Philosophy of Mind
Environmental Impacts of AI
Explainability and Interpretability in Machine Learning
Explainability (outside Machine Learning)
Fairness and Bias
Machine Ethics
Morality and Value-Based AI
Philosophical Foundations of AI
Privacy and Security
Responsible AI
Robot Rights
Safety and Robustness
Societal Impacts of AI
Standards and Certification
Transparency
Trust
Other Topics Related to Fairness, Ethics, or Trust
Computer Vision
3D Computer Vision
Adversarial Attacks on CV Systems
Autonomous Driving
Biometrics
Computer Vision Theory
Explainability in Computer Vision
Face, Gesture, and Pose Recognition
Image and Video Retrieval
Image and Video Generation
Language and Vision
Machine Learning for Computer Vision
Medical and Biological Imaging
Motion and Tracking
Object Detection and Categorisation
Representation Learning for Computer Vision
Scene Analysis and Understanding
Segmentation, Grouping, and Shape Analysis
Video Understanding and Activity Analysis
Visual Reasoning and Symbolic Representation
Other Topics in Computer Vision
Constraints and Satisfiability
Constraint Learning and Acquisition
Constraint Optimisation
Constraint Programming
Constraint Satisfaction
Constraints, Data Mining, and Machine Learning
Distributed CSP and Optimisation
Dynamic Programming
Global Constraints
Inductive and Co-Inductive Logic Programming
Knowledge Compilation
Logic Programming
Mixed Discrete and Continuous Optimisation
Satisfiability
Satisfiability Modulo Theories
Solvers and Tools
Other Topics in Constraints and Satisfiability
Data Mining
Anomaly/Outlier Detection
Big Data and Scalability
Data Compression
Data Stream Mining
Data Visualisation and Summarisation
Graph Mining, Social Network Analysis, and Community Mining
Information Retrieval
Intelligent Database Systems
Mining Codebase and Software Repositories
Mining Heterogeneous Data
Mining Spatial and Temporal Data
Mining Visual, Multimedia, and Multimodal Data
Mining Semi-Structured Data
Personalisation and User Modelling
Privacy in Data Mining
Recommender Systems
Rule Mining and Pattern Mining
Web Search
Other Topics in Data Mining
Humans and AI
Cognitive Modelling
Computer-Aided Education
Human Computation and Crowdsourcing
Human-Aware Planning and Behaviour Prediction
Human-Computer Interaction
Human-Computer Teamwork, Team Formation, and Collaboration
Human-in-the-loop Systems
Human-Machine Interaction Techniques and Devices
Human-Robot/Agent Interaction
Intelligent Virtual Agents
Learning Human Values and Preferences
Planning and Decision Support for Human-Machine Teams
Reinforcement Learning with Human Feedback
Understanding People: Theories, Concepts, and Methods
User Experience and Usability
User Modelling and Personalisation
Other Topics in Humans and AI
Knowledge Representation and Reasoning
Answer Set Programming
Argumentation
Automated Reasoning and Theorem Proving
Belief Revision, Update, and Merging
Case-Based Reasoning
Commonsense Reasoning
Description Logics
Abductive Reasoning and Diagnosis
Geometric, Spatial, and Temporal Reasoning
Knowledge Acquisition
Knowledge Graphs and Open Linked Data
Knowledge Representation Languages
Logic Foundations
Non-Monotonic Reasoning
Ontologies
Preferences
Qualitative Reasoning
Reasoning about Action and Change
Reasoning about Knowledge and Beliefs
Semantic Web
Verification
Other Topics in Knowledge Representation and Reasoning
Machine Learning
Active Learning
Adversarial Learning and Robustness
Automated Learning and Hyperparameter Tuning
Bayesian Learning
Causal Learning
Classification and Regression
Clustering
Deep Generative Models and Auto-Encoders
Deep Learning Theory
Deep Neural Network Architectures
Deep Neural Network Algorithms
Deep Reinforcement Learning
Dimensionality Reduction/Feature Selection
Distributed Machine Learning
Efficient Methods for Machine Learning
Ensemble Methods
Evaluation and Analysis in Machine Learning
Evolutionary Learning
Federated Learning
Genetic Algorithms
Graph-Based Machine Learning
Imitation Learning and Inverse Reinforcement Learning
Kernel Methods
Learning Preferences or Rankings
Learning Theory
Lifelong and Continual Learning
Meta-Learning
Model Adaptation, Compression, and Distillation
Multi-Class/Multi-Label Learning and Extreme Classification
Multi-Instance/Multi-View Learning
Multimodal Learning
Neuro-Symbolic Methods
Online Learning and Bandits
Optimisation in Machine Learning
Privacy-Aware Machine Learning
Quantum Machine Learning
Reinforcement Learning Algorithms
Reinforcement Learning Theory
Relational Learning
Representation Learning
Scalability of Machine Learning Systems
Semi-Supervised Learning
Time-Series and Data Streams
Transfer, Domain Adaptation, and Multi-Task Learning
Unsupervised and Self-Supervised Learning
Other Topics in Machine Learning
Multiagent Systems
Agent Theories and Models
Agent-Based Simulation and Complex Systems
Algorithmic Game Theory
Communication, Coordination, and Collaboration
Behavioural Game Theory
Computational Social Choice
Coordination, Organisations, Institutions, and Norms
Distributed Problem Solving
Economic Paradigms
Engineering Multiagent Systems
Fair Division
Mechanism Design
Multiagent Learning
Multiagent Planning
Social Networks
Swarm Intelligence
Voting Theory
Other Topics in Multiagent Systems
Natural Language Processing
Adversarial Attacks on NLP Systems
Conversational AI and Dialogue Systems
Discourse and Pragmatics
Information Extraction
Interpretability and Analysis of NLP Models
Language Grounding
Large Language Models
Lexical Semantics
Linguistic Theories, Cognitive Modelling, and Psycholinguistics
Machine Learning for NLP
Machine Translation
Multilingualism and Linguistic Diversity
Natural Language Generation
NLP Resources and Evaluation
Ontology Induction from Text
Phonology, Morphology, and Word Segmentation
Question Answering
Sentence-Level Semantics and Textual Inference
Sentiment Analysis, Stylistic Analysis, and Argument Mining
Speech and Multimodality
Summarisation
Syntax and Parsing
Text Mining
Vision and Language
Other Topics in Natural Language Processing
Planning and Search
Activity and Plan Recognition
Adversarial Search
Classical Planning
Combinatorial Search and Optimisation
Conformant, Contingent, and Adversarial Planning
Continual, Online, and Real-Time Planning
Game Playing
Heuristic Search
Human-Aware Planning
Knowledge Acquisition and Representation for Planning
Local Search
Markov Decision Processes
Mixed Discrete/Continuous Planning
Partially Observable and Unobservable Domains
Plan Execution, Monitoring, and Repair
Planning and Machine Learning
Planning under Uncertainty
Routing
Scheduling
Search and Machine Learning
Search in Planning and Scheduling
Other Topics in Planning and Search
Robotics
Behaviour Learning and Control for Robotics
Cognitive Robotics
Human-Robot Interaction
Localisation, Mapping, and Navigation
Machine Learning for Robotics
Multimodal Perception and Sensor Fusion
Multi-Robot Systems
Optimisation for Robotics
Robot Manipulation
Robot Planning and Scheduling
Other Topics in Robotics
Uncertainty in AI
Approximate Inference
Bayesian Networks
Causality
Decision and Utility Theory
Fuzzy Sets and Systems
Graphical Models
Non-Probabilistic Models of Uncertainty
Probabilistic Modelling
Probabilistic Programming
Randomised Algorithms
Sequential Decision Making
Spatial and Temporal Models of Uncertainty
Stochastic Models and Probabilistic Inference
Stochastic Optimisation
Uncertainty Representations
Other Topics in Uncertainty in AI
Multidisciplinary Topics
Aerospace
Artificial Life
Arts and Creativity
Bioinformatics
Blockchain Technology
Cognitive Science
Computer Games
Cyber Security and Privacy
Databases
Digital Democracy
Economics and Finance
Education
Energy, Environment, and Sustainability
Entertainment
Hardware
Health and Medicine
Humanities
Internet of Things
Life Sciences
Marketing
Mobility
Neuroscience
News and Media
Philosophy and Ethics
Physical Sciences
Quantum Computing
Real-Time Systems
Smart Cities and Urban Planning
Social Sciences
Software Engineering
Sports
Transportation
Web and Network Science
Other Multidisciplinary Topics