# AAAI — AAAI Conference on Artificial Intelligence - **Submission deadline**: 2026-07-21 - **Notification date**: 2026-11-30 - **Conference date**: 2027-02-16 - **Location**: Montreal, Quebec, Canada - **Rankings**: CCF A · CORE A* · QUALIS A1 - **Conference Partner Index**: 97.7/100 (ranked #2, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking - **Trackers**: 1059 - **Attendees**: 225 - **Canonical page**: https://www.myhuiban.com/conference/408 ## Acceptance history | Year | Submitted | Accepted | Rate | |---|---|---|---| | 2025 | 12957 | 3032 | 23.4% | | 2024 | 9862 | 2342 | 23.7% | | 2023 | 8777 | 1721 | 19.6% | | 2022 | 9020 | 1349 | 15% | | 2021 | 7911 | 1692 | 21.4% | | 2020 | 7737 | 1591 | 20.6% | | 2019 | 7095 | 1150 | 16.2% | | 2018 | 3800 | 933 | 24.6% | | 2017 | 2590 | 638 | 24.6% | | 2016 | 2132 | 549 | 25.8% | ## Past editions | Year | Deadline | Conference date | Location | |---|---|---|---| | 2026 | 2025-07-25 | 2026-01-20 | Singapore | | 2025 | 2024-08-07 | 2025-02-25 | Philadelphia, Pennsylvania, USA | | 2024 | 2023-08-08 | 2024-02-20 | Vancouver, British Columbia, Canada | | 2023 | 2022-08-08 | 2023-02-07 | Washington DC, USA | | 2022 | | 2022-02-22 | Online | | 2021 | | 2021-02-02 | Online | | 2020 | | 2020-02-07 | New York City, New York, USA | | 2019 | | 2019-01-27 | Honolulu, Hawaii, USA | | 2018 | | 2018-02-02 | New Orleans, Louisiana, USA | | 2017 | | 2017-02-04 | San Francisco, California, USA | ## Call for papers AAAI-27 Areas and topics Submission Areas Application Domains (APP) Audio and Speech Processing (AUD) Cognitive Modeling & Cognitive Systems (CMS) Constraint Satisfaction and Optimization (CSO) Computer Vision (CV) Data Mining & Knowledge Management (DMKM) Game Theory and Economic Paradigms (GTEP) Humans and AI (HAI) Knowledge Representation and Reasoning (KRR) Multiagent Systems (MAS) Machine Learning (ML) Natural Language Processing (NLP) Philosophy and Ethics of AI (PEAI) Planning, Routing, and Scheduling (PRS) Intelligent Robotics (ROB) Reasoning under Uncertainty (RU) Search and Optimization (SO) Areas and topics Application Domains (APP) APP: AI for Education & Learning Technologies APP: AI for Science (Natural & Physical Sciences) APP: Climate, Sustainability & Environment APP: Healthcare & Bioinformatics Applications APP: Humanities & Computational Social Science APP: IoT, Sensor Networks & Smart Cities APP: Mobility, Transportation & Autonomous Systems APP: Natural Sciences APP: Other Applications APP: Security & Privacy Applications APP: Social Networks & Web APP: Software Engineering Audio and Speech Processing (AUD) AUD: Audio Deepfake Detection & Anti-Spoofing AUD: Audio Representation Learning & Foundation Models AUD: Audio-Visual & Multimodal Learning AUD: Automatic Speech Recognition & Spoken Language Understanding AUD: Bias, Fairness, Privacy, Low-Resource & Multilingual Speech AUD: Datasets & Benchmarks for Audio & Speech AUD: Environmental Sound, Acoustic Scenes & Event Detection AUD: Music Information Retrieval & Generation AUD: Other Foundations of Audio & Speech Processing AUD: Paralinguistics & Affective Speech AUD: Speaker Recognition, Diarization & Verification AUD: Speech Enhancement, Separation & Source Separation AUD: Speech Synthesis, Voice Conversion & Generation Cognitive Modeling & Cognitive Systems (CMS) CMS: Affective Computing & Social Cognition CMS: Cognitive Architectures & Conceptual Reasoning CMS: Computational Creativity CMS: Other Foundations of Cognitive Modeling & Systems CMS: Simulating Human Behavior CMS: Symbolic Representations & Agent Architectures Constraint Satisfaction and Optimization (CSO) CSO: Constraint Optimization & Programming CSO: Constraint Satisfaction & Learning CSO: Distributed & Mixed Discrete/Continuous Optimization CSO: Other Foundations of Constraint Satisfaction CSO: Satisfiability & SMT CSO: Search, Solvers & Tools Computer Vision (CV) CV: 3D Computer Vision CV: Adversarial Attacks & Robustness CV: Bias, Fairness, Privacy & Interpretability CV: Biometrics, Face, Gesture & Pose CV: Computational Photography, Image & Video Synthesis CV: Datasets & Benchmarks for Vision CV: Diffusion & Generative Models for Vision CV: Image and Video Retrieval CV: Language, Vision & Multi-modal CV: Learning & Optimization for CV CV: Low-Level & Physics-based Vision CV: Medical and Biological Imaging CV: Motion, Tracking & Activity Analysis CV: Object Detection, Segmentation & Scene Understanding CV: Other Foundations of Computer Vision CV: Remote Sensing / Geospatial AI CV: Representation Learning & Vision Foundation Models CV: Vision for Robotics, Embodied & Autonomous Driving CV: Visual Reasoning & Symbolic Representations Data Mining & Knowledge Management (DMKM) DMKM: Anomaly Detection & Pattern Mining DMKM: Conversational, Query & Retrieval Systems DMKM: Data Stream & Spatio-Temporal Mining DMKM: Data Visualization & Summarization DMKM: Datasets & Benchmarks for Data Mining DMKM: Graph Mining & Social Network Analysis DMKM: Knowledge Graphs, Linked Data & Semantic Web DMKM: Mining of Visual, Multimedia & Multimodal Data DMKM: Other Foundations of Data Mining & Knowledge Management DMKM: Recommender Systems DMKM: Scalability, Parallel & Distributed Systems Game Theory and Economic Paradigms (GTEP) GTEP: Cooperative & Behavioral Game Theory GTEP: Coordination & Adversarial LearningCoordination, Collaboration & Adversarial Interaction GTEP: Game Theory, Equilibrium & Imperfect Information GTEP: Mechanism Design & Auctions GTEP: Other Foundations of Game Theory & Economic Paradigms GTEP: Social Choice, Voting & Fair Division Humans and AI (HAI) HAI: AI for Accessibility HAI: Emotional Intelligence & Brain-Sensing HAI: Explainable AI for Human Understanding HAI: Game Design & Procedural Generation HAI: Human-AI Collaboration, Trust & Teaming HAI: Human-Aware Planning & Decision Support HAI: Human-Computer Interaction & Interfaces HAI: Human-in-the-loop ML & Crowd Sourcing HAI: Learning Human Values & Preferences HAI: Other Foundations of Human Computation & AI Knowledge Representation and Reasoning (KRR) KRR: Action, Change & Spatio-Temporal Reasoning KRR: Automated Reasoning & Theorem Proving KRR: Common-Sense, Causal & Qualitative Reasoning KRR: Diagnosis, Abduction & Argumentation KRR: Knowledge Acquisition, Engineering & Ontologies KRR: KR Languages, Preferences & Beliefs KRR: Logic Programming & Description Logics KRR: Neuro-Symbolic Reasoning KRR: Nonmonotonic Reasoning & Computational Complexity KRR: Other Foundations of Knowledge Representation & Reasoning Multiagent Systems (MAS) MAS: Agent Theories, Architectures & Communication MAS: Agent-Based Simulation & Emergent Behavior MAS: Agentic Safety, Security & Alignment MAS: LLM-based Agents & Agentic Systems MAS: MAS under Uncertainty & Adversarial Agents MAS: Mechanism Design & Modeling other Agents MAS: Multiagent Learning MAS: Multiagent Planning & Coordination MAS: Negotiation, Argumentation & Agreement MAS: Other Foundations of Multiagent Systems MAS: Tool Use, Orchestration & Multi-Agent Coordination for LLMs Machine Learning (ML) ML: Adversarial Learning & Robustness ML: AutoML & Hyperparameter Tuning ML: Bayesian Learning & Uncertainty Quantification ML: Causal Learning ML: Classification, Regression & Kernel Methods ML: Clustering & Unsupervised/Self-Supervised Learning ML: Data-Centric AI, Synthetic Data & Data Curation ML: Deep Generative Models & Autoencoders ML: Deep Learning Algorithms, Architectures & Foundation Models ML: Deep Learning Theory & Learning Theory ML: Dimensionality Reduction, Manifolds & Matrix/Tensor Methods ML: Distributed & Federated Learning ML: Efficient, Edge, Green & Hardware-aware ML ML: Ensemble & Multi-class/Multi-label Learning ML: Ethics, Bias, Fairness & Privacy ML: Evaluation, Benchmarking, Datasets & Analysis ML: Evolutionary Learning ML: Graph-based Machine Learning ML: Machine Unlearning, Data Deletion & Model Editing ML: Mixture of Experts (MoE) ML: Multimodal & Large Multimodal Models (LMMs) ML: Neuro-Symbolic Learning ML: Online Learning & Bandits ML: Optimization for ML ML: Other Foundations of Machine Learning ML: Post-Training, Fine-Tuning & Model Alignment ML: Probabilistic Circuits & Graphical Models ML: Quantum Machine Learning ML: Reasoning & Test-Time Compute ML: Reinforcement, Imitation & Inverse RL ML: Representation Learning ML: Scalability of ML Systems ML: Semi-Supervised & Active Learning ML: Time-Series & Data Streams ML: Transfer, Domain Adaptation & Continual Learning ML: Transparent, Interpretable & Explainable ML ML: World Models, Simulation & Environment Models Natural Language Processing (NLP) NLP: (Large) Language Models NLP: Code Generation / Program Synthesis NLP: Conversational AI & Dialog Systems NLP: Datasets & Benchmarks for NLP NLP: Fact-Checking & Misinformation Detection NLP: Generation & Summarization NLP: Information Extraction & Question Answering NLP: Interpretability, Analysis & Evaluation (incl. Factuality & Hallucination) NLP: Language Grounding & Multi-modal NLP NLP: Machine Translation & Multilinguality NLP: Other Foundations of Natural Language Processing NLP: Prompt Engineering & In-Context Learning NLP: Retrieval-Augmented Generation & Knowledge-Grounded NLP NLP: Safety, Ethics, Bias & Fairness NLP: Semantics, Textual Inference & Discourse NLP: Sentiment, Stylistic & Text Classification NLP: Syntax, Morphology & Lexical Semantics Philosophy and Ethics of AI (PEAI) PEAI: Accountability, Interpretability & Explainability PEAI: AI Alignment & Oversight PEAI: AI Evaluation, Auditing & Red Teaming PEAI: AI, Law, Justice, Regulation & Governance PEAI: Bias, Fairness & Equity PEAI: Generative AI Safety, Provenance & Misuse PEAI: Morality & Value-based AI PEAI: Other Foundations of Philosophy & Ethics of AI PEAI: Philosophical Foundations, Epistemology & AGI PEAI: Privacy & Security PEAI: Safety, Robustness & Trustworthiness PEAI: Societal Impact, Jobs & Labor Planning, Routing, and Scheduling (PRS) PRS: Deterministic & Temporal Planning PRS: Learning for Planning & Scheduling PRS: Mixed Discrete/Continuous Planning & Model-Based Reasoning PRS: Optimization of Spatio-temporal Systems PRS: Other Foundations of Planning, Routing & Scheduling PRS: Plan Execution, Monitoring, Replanning & Recognition PRS: Planning under Uncertainty & Markov Models PRS: Planning with Language Models & Agentic Planning PRS: Scheduling & Routing Intelligent Robotics (ROB) ROB: Datasets & Benchmarks for Robotics ROB: Embodied AI ROB: Human-Robot Interaction ROB: Localization, Mapping & Navigation ROB: Manipulation & Cognitive Robotics ROB: Motion & Path Planning ROB: Multi-Robot Systems ROB: Other Foundations and ApplicationsOther Foundations of Intelligent Robotics ROB: Perception, Sensor Fusion & State Estimation ROB: Robot Learning, Control & Foundation Models Reasoning under Uncertainty (RU) RU: Causality RU: Decision/Utility Theory & Sequential Decision Making RU: Other Foundations of Reasoning under Uncertainty RU: Probabilistic & Relational Probabilistic Models RU: Probabilistic Inference & Graphical Models RU: Stochastic Optimization RU: Uncertainty Representations Search and Optimization (SO) SO: Algorithm Configuration & Sampling-based Search SO: Combinatorial & Non-convex Optimization SO: Distributed & Mixed Discrete/Continuous Search SO: Evolutionary Computation SO: Heuristic, Adversarial & Local Search SO: Metareasoning, Metaheuris *(truncated — full text on the canonical page)* ## Related conferences - AIIDE — AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment — https://www.myhuiban.com/conference/1298 - ICWSM — International AAAI Conference on Web and Social Media — https://www.myhuiban.com/conference/526 - AIES — AAAI/ACM Conference on AI, Ethics, and Society — https://www.myhuiban.com/conference/4313 - HCOMP — AAAI Conference on Human Computation and Crowdsourcing — https://www.myhuiban.com/conference/1928 - Artificial Intelligence — International Conference on Automation and Artificial Intelligence — https://www.myhuiban.com/conference/3369 ## Related journals - World Wide Web — https://www.myhuiban.com/journal/122 - Pattern Recognition — https://www.myhuiban.com/journal/198 - Engineering Applications of Artificial Intelligence — https://www.myhuiban.com/journal/209 - Information Sciences — https://www.myhuiban.com/journal/115 - IEEE Transactions on Neural Networks and Learning Systems — https://www.myhuiban.com/journal/188 --- Source: Conference Partner — https://www.myhuiban.com/conference/408 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)