The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a leading IEEE-CS annual scientific meeting for three decades. It provides a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies. The conference facilitates the cross-fertilization of these ideas and promotes their transfer into practical tools, for developing intelligent systems and pursuing artificial intelligence applications. The ICTAI encompasses all technical aspects of specifying, developing and evaluating the theoretical underpinnings and applied mechanisms of the AI-based components of computer tools such as algorithms, architectures and languages.

Important Dates
Paper Submission: June 30, 2026
Paper Notification: September 10, 2026
Camera Ready: September 25, 2026


Conference Categories

AI Foundations
Evolutionary computing, Bayesian and Neural Networks
Decision/Utility Theory and Decision Optimization
Search, SAT, and CSP
Description Logic and Ontologies
AI in Domain-specific Applications
AI in Computational Biology, Medicine and Biomedical Applications
AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce
AI in Finance and Risk Management
AI in Computer Systems
AI in Robotics, Computer Vision and Games
AI in Natural Language Processing
AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks
AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems
AI in Web Search and Information Retrieval
AI in Computer Security, Data Privacy, and Information Assurance
AI in Data Analytics and Big Data

Visual Analytics for Big Data
Computational Modeling for Big Data
Large-scale Recommendation and Social Media Systems
Cloud/Grid/Stream Data Mining for Big Velocity Data
Semantic-based Big Data Mining
AI in Smart Cities

Healthcare, Traffic, Transportation, Environment, etc.
AI Synergistic models

Bridging AI Models for Advanced AI.
AI and Societal Impact

AI Fairness, Accountability and Transparency
AI interpretability and explainability
Ethical and Trustworthy AI
Machine Learning
Dimension Reduction and Feature Selection computing
Learning Graphical Models and Complex Networks
Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Mulit-Task Learning
Transfer/Adaptive, Rational and Structured Learning
Preference/Ranking, Ensemble, and Reinforcement Learning
Learn continuous-Incremental Learning
Knowledge Representation, Reasoning and Cognitive Modelling
Knowledge Representation, Reasoning
Knowledge Extraction, Management and Sharing
Case-based Reasoning and Knowledge-based Systems
Cognitive Modelling and Semantic Web
AI and Decision Systems
Decision Guidance and Support Systems
Optimization-based Recommender Systems
Group, Distributed, and Collaborative Decisions
Crowd-sourcing and Collective Intelligence Decision-making
Strategic, Tactical and Operational-level Decisions
Decision-making in Social and Mobile Networks
Uncertainty in AI
Uncertainty and Fuzziness Representation and Reasoning
Approximate/Exact Probabilistic Inference
Knowledge Discovery and Data Mining for Uncertain
Natural Language Processing
Natural Language Processing/Understanding
Large language models
Dialogue systems and digital assistants/chatbots
AI in Quantum Computing and Systems
Quantum machine learning (QML), hybrid quantum–classical AI
Variational quantum algorithms (e.g., QAOA, VQE) for AI tasks
AI for quantum system design, control, and error mitigation
AI for distributed and networked quantum
Benchmarking and evaluation of quantum AI systems
Paper Submission
ICTAI 2026 uses a double-blind review process. To facilitate this, authors should ensure that their names and affiliations do not appear anywhere in the submitted paper.

SUBMISSION should be made through the Easy Chair link: https://easychair.org/conferences/?conf=ictai2026. The submissions should contain original, high-quality work that has not submitted or published elsewhere. Papers should be submitted electronically in PDF format and should conform to IEEE specifications (single-spaced, double-column, 10-point font size, up to 8 pages).