What is the submission deadline for AAAI 2026?

The paper submission deadline for AAAI 2026 (AAAI Conference on Artificial Intelligence) is 2025-07-25.

Where is AAAI 2026 held?

AAAI 2026 is held in Singapore.

When does AAAI 2026 take place?

AAAI 2026 takes place on 2026-01-20.

What is the ranking of AAAI?

AAAI is ranked CCF A, CORE A*, QUALIS A1. These are categorical rankings maintained by the respective bodies (China Computer Federation, CORE Inc., and Brazilian CAPES).

AAAI 2026: AAAI Conference on Artificial Intelligence

AAAI 2026 (AAAI Conference on Artificial Intelligence) is a CCF A / CORE A* / QUALIS A1 conference held in Singapore on 2026-01-20. The paper submission deadline is 2025-07-25. Acceptance notifications are sent on 2025-11-03.

Topics AAAI-26 welcomes submissions reporting research that advances artificial intelligence, broadly conceived. The conference scope includes machine learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation, human-in-the-loop AI, search, planning, reasoning, robotics and perception, and ethics. In addition to fundamental work focused on any one of these areas, we expressly encourage work that cuts across technical areas of AI (e.g., machine learning and computer vision; robotics and multiagent systems, computer vision and natural language processing; or machine learning and planning), bridges between AI and a related research area (e.g., neuroscience; cognitive science), or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce. The set of AAAI-26 keywords is available on the AAAI-26 keywords page. The author’s guide for choosing the best keywords describes important considerations in selecting keywords for a paper. Most papers in AAAI-26 are expected to be part of the main track. All main track papers will be reviewed according to the same criteria and via the same process. This conference has two special tracks, which focus on AI for Social Impact, and AI Alignment. Papers in the special tracks will be reviewed according to a different evaluation rubric than papers in the main track. The same reviewing schedule will be followed for all papers. Special Track on AI for Social Impact As in past years, AAAI-26 will include a special track on AI for Social Impact (AISI). Submissions to this track will be reviewed according to a rubric that emphasizes the fit between the techniques used and a problem of social importance, rather than simply rewarding technical novelty. In particular, reviewers will assess the significance of the addressed problem; the paper’s engagement with previous literature on the application problem (whether in the AI literature or elsewhere); both novelty of and justification for the proposed AI-based approach; quality of evaluation; facilitation of follow-up work; and overall scope and promise for social impact. Further details are available at the AISI page. Special Track on AI Alignment The 2026 AI Alignment track seeks research on scalable oversight, mechanistic interpretability, empirical robustness evaluation, red-teaming, human cognitive and psychological factors, and safe-by-design engineering—including formal safety cases. We welcome work on transparent governance frameworks, economic incentives, institutional accountability, human-centered modeling and evaluation, and pluralistic coordination methods that enable AI systems to manage conflicting human values and foster international cooperation through shared evaluation standards. Submissions must state their contributions and relevance to the track clearly; papers that release open datasets, reproducible code, or practical evaluation tools are especially encouraged. Reviewing will emphasize technical correctness, appropriate coverage of related work, and relevance to the track. Further details are available at the AIA page.

Year	Submitted	Accepted	Accepted(%)
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%
2015	1991	531	26.7%
2014	1406	398	28.3%
2011	975	242	24.8%
2010	982	264	26.9%
2008	937	227	24.2%
2007	921	253	27.5%
2006	774	171	22.1%
2005	803	148	18.4%
2004	453	121	26.7%
2002	469	121	25.8%
2000	431	143	33.2%
1999	400	109	27.3%
1998	475	144	30.3%
1997	323	117	36.2%
1996	643	197	30.6%
1994	780	222	28.5%
1993	524	126	24%
1992	636	133	20.9%
1991	603	142	23.5%
1990	892	161	18%
1988	850	148	17.4%
1987	715	149	20.8%
1986	817	187	22.9%

Year

Submitted

Accepted

Accepted(%)

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%

2015

1991

531

26.7%

2014

1406

398

28.3%

2011

975

242

24.8%

2010

982

264

26.9%

2008

937

227

24.2%

2007

921

253

27.5%

2006

774

171

22.1%

2005

803

148

18.4%

2004

453

121

26.7%

2002

469

121

25.8%

2000

431

143

33.2%

1999

400

109

27.3%

1998

475

144

30.3%

1997

323

117

36.2%

1996

643

197

30.6%

1994

780

222

28.5%

1993

524

126

24%

1992

636

133

20.9%

1991

603

142

23.5%

1990

892

161

18%

1988

850

148

17.4%

1987

715

149

20.8%

1986

817

187

22.9%

Year	Best Papers
2023	Misspecification in Inverse Reinforcement Learning
2022	Online certification of preference-based fairness for personalized recommender systems
2021	Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
2021	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
2020	WinoGrande: An Adversarial Winograd Schema Challenge at Scale
2020	Fair Division of Mixed Divisible and Indivisible Goods
2020	A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
2019	Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
2019	How to Combine Tree-Search Methods in Reinforcement Learning
2018	Counterfactual Multi-Agent Policy Gradients
2018	Memory-Augmented Monte Carlo Tree Search
2017	The Option-Critic Architecture
2017	Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
2016	Toward a Taxonomy and Computational Models of Abnormalities in Images
2016	Bidirectional Search That Is Guaranteed to Meet in the Middle
2015	Surpassing Human-Level Face Verification Performance on LFW with GaussianFace
2015	From Non-Negative to General Operator Cost Partitioning
2014	Recovering from Selection Bias in Causal and Statistical Inference
2013	SMILe: Shufﬂed Multiple-Instance Learning
2013	HC-Search: Learning Heuristics and Cost Functions for Structured Prediction
2012	Document Summarization Based on Data Reconstruction
2012	Learning SVM Classiiers with Indeinite Kernels
2011	Dynamic Resource Allocation in Conservation Planning
2011	Complexity of and Algorithms for Borda Manipulation
2010	How Incomplete Is Your Semantic Web Reasoner?
2010	A Novel Transition Based Encoding Scheme for Planning as Satisfiability
2008	Optimal False-Name-Proof Voting Rules with Costly Voting
2008	How Good is Almost Perfect?
2007	PLOW: A Collaborative Task Learning Agent
2007	Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
2006	Towards an Axiom System for Default Logic
2006	Model Counting: A New Strategy for Obtaining Good Bounds
2005	The Max K-Armed Bandit: A New Model of Exploration Applied to Search Heuristic Selection
2004	Learning and Inferring Transportation Routines
2002	On Computing all Abductive Explanations
2000	The Game of Hex: An Automatic Theorem Proving Approach to Game Programming
1999	PROVERB: The Probabilistic Cruciverbalist
1998	Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
1998	Acceleration Methods for Numeric CSPs
1998	The Interactive Museum Tour-Guide Robot
1997	A Practical Algorithm for Finding Optimal Triangulations
1997	Fast Context Switching in Real-Time Propositional Reasoning
1997	Statistical Parsing with a Context-Free Grammar and Word Statistics
1997	Building Concept Representations from Reusable Components
1996	A Novel Application of Theory Refinement to Student Modeling
1996	Verification of Knowledge Bases Based on Containment Checking
1996	Pushing the Envelope: Planning, Propositional Logic and Stochastic Search
1994	A Prototype Reading Coach that Listens
1993	Equations for Part-of-Speech Tagging
1992	Hard and Easy Distributions of SAT Problems
1991	Improving Rule-Based Systems Through Case-Based Reasoning
1988	Qualitative Results Concerning the Utility of Explanation-Based Learning
1988	Approach to Qualitative Algebraic Reasoning
1987	An Approach to Default Reasoning Based on a First-Order Conditional Logic
1987	Energy Constraints on Deformable Models: Recovering Shape and Non-Rigid Motion
1987	Word-Order Variation in Natural Language Generation
1987	Defining Operationality for Explanation-based Learning
1987	Non-Deterministic Lisp with Dependency-directed Backtracking
1987	Curing Anomalous Extensions
1987	PROMPT: An Innovative Design Tool
1987	Incremental Causal Reasoning
1986	Default Reasoning, Nonmonotonic Logics, and the Frame Problem
1986	Generating Tests by Exploiting Designed Behavior
1984	The Tractability of Subsumption in Frame-Based Description Languages
1984	Choices without Backtracking
1984	A Logic of Implicit and Explicit Belief
1984	Shading into Texture

Year

Best Papers

2023

Misspecification in Inverse Reinforcement Learning

2022

Online certification of preference-based fairness for personalized recommender systems

2021

Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory

2021

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

2020

WinoGrande: An Adversarial Winograd Schema Challenge at Scale

2020

Fair Division of Mixed Divisible and Indivisible Goods

2020

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

2019

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

2019

How to Combine Tree-Search Methods in Reinforcement Learning

2018

Counterfactual Multi-Agent Policy Gradients

2018

Memory-Augmented Monte Carlo Tree Search

2017

The Option-Critic Architecture

2017

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

2016

Toward a Taxonomy and Computational Models of Abnormalities in Images

2016

Bidirectional Search That Is Guaranteed to Meet in the Middle

2015

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace

2015

From Non-Negative to General Operator Cost Partitioning

2014

Recovering from Selection Bias in Causal and Statistical Inference

2013

SMILe: Shufﬂed Multiple-Instance Learning

2013

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction

2012

Document Summarization Based on Data Reconstruction

2012

Learning SVM Classiiers with Indeinite Kernels

2011

Dynamic Resource Allocation in Conservation Planning

2011

Complexity of and Algorithms for Borda Manipulation

2010

How Incomplete Is Your Semantic Web Reasoner?

2010

A Novel Transition Based Encoding Scheme for Planning as Satisfiability

2008

Optimal False-Name-Proof Voting Rules with Costly Voting

2008

How Good is Almost Perfect?

2007

PLOW: A Collaborative Task Learning Agent

2007

Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games

2006

Towards an Axiom System for Default Logic

2006

Model Counting: A New Strategy for Obtaining Good Bounds

2005

The Max K-Armed Bandit: A New Model of Exploration Applied to Search Heuristic Selection

2004

Learning and Inferring Transportation Routines

2002

On Computing all Abductive Explanations

2000

The Game of Hex: An Automatic Theorem Proving Approach to Game Programming

1999

PROVERB: The Probabilistic Cruciverbalist

1998

Learning Evaluation Functions for Global Optimization and Boolean Satisfiability

1998

Acceleration Methods for Numeric CSPs

1998

The Interactive Museum Tour-Guide Robot

1997

A Practical Algorithm for Finding Optimal Triangulations

1997

Fast Context Switching in Real-Time Propositional Reasoning

1997

Statistical Parsing with a Context-Free Grammar and Word Statistics

1997

Building Concept Representations from Reusable Components

1996

A Novel Application of Theory Refinement to Student Modeling

1996

Verification of Knowledge Bases Based on Containment Checking

1996

Pushing the Envelope: Planning, Propositional Logic and Stochastic Search

1994

A Prototype Reading Coach that Listens

1993

Equations for Part-of-Speech Tagging

1992

Hard and Easy Distributions of SAT Problems

1991

Improving Rule-Based Systems Through Case-Based Reasoning

1988

Qualitative Results Concerning the Utility of Explanation-Based Learning

1988

Approach to Qualitative Algebraic Reasoning

1987

An Approach to Default Reasoning Based on a First-Order Conditional Logic

1987

Energy Constraints on Deformable Models: Recovering Shape and Non-Rigid Motion

1987

Word-Order Variation in Natural Language Generation

1987

Defining Operationality for Explanation-based Learning

1987

Non-Deterministic Lisp with Dependency-directed Backtracking

1987

Curing Anomalous Extensions

1987

PROMPT: An Innovative Design Tool

1987

Incremental Causal Reasoning

1986

Default Reasoning, Nonmonotonic Logics, and the Frame Problem

1986

Generating Tests by Exploiting Designed Behavior

1984

The Tractability of Subsumption in Frame-Based Description Languages

1984

Choices without Backtracking

1984

A Logic of Implicit and Explicit Belief

1984

Shading into Texture

CCF	CORE	QUALIS	Short	Full Name	Submission	Notification	Conference
c	b		PRICAI	Pacific Rim International Conference on Artificial Intelligence	2026-06-13	2026-08-08	2026-11-17
b	a*	a1	UAI	Conference on Uncertainty in Artificial Intelligence	2026-02-25	2026-06-01	2026-08-17
a	a*	a1	IJCAI	International Joint Conference on Artificial Intelligence	2026-01-31		2026-08-15
a	a*	a1	AAAI	AAAI Conference on Artificial Intelligence	2025-07-25	2025-11-03	2026-01-20
c	b	a2	ICTAI	International Conference on Tools with Artificial Intelligence	2025-07-15	2025-08-30	2025-11-03
b	a	a2	ECAI	European Conference on Artificial Intelligence	2025-04-29	2025-07-10	2025-10-25
	c	b4	ICAART	International Conference on Agents and Artificial Intelligence	2024-10-02	2024-12-04	2025-02-23
	a	b1	AIED	International Conference on Artificial Intelligence in Education	2019-02-01		2019-06-25
	a		AIME	Conference on Artificial Intelligence in Medicine	2017-01-22	2017-03-13	2017-06-21
		b2	MICAI	Mexican International Conference on Artificial Intelligence	2015-06-23	2015-07-25	2015-10-25

CCF

CORE

QUALIS

Short

Full Name

Submission

Notification

Conference

PRICAI

Pacific Rim International Conference on Artificial Intelligence

2026-06-13

2026-08-08

2026-11-17

UAI

Conference on Uncertainty in Artificial Intelligence

2026-02-25

2026-06-01

2026-08-17

IJCAI

International Joint Conference on Artificial Intelligence

2026-01-31

2026-08-15

AAAI

AAAI Conference on Artificial Intelligence

2025-07-25

2025-11-03

2026-01-20

ICTAI

International Conference on Tools with Artificial Intelligence

2025-07-15

2025-08-30

2025-11-03

ECAI

European Conference on Artificial Intelligence

2025-04-29

2025-07-10

2025-10-25

ICAART

International Conference on Agents and Artificial Intelligence

2024-10-02

2024-12-04

2025-02-23

AIED

International Conference on Artificial Intelligence in Education

2019-02-01

2019-06-25

AIME

Conference on Artificial Intelligence in Medicine

2017-01-22

2017-03-13

2017-06-21

MICAI

Mexican International Conference on Artificial Intelligence

2015-06-23

2015-07-25

2015-10-25

CCF	Full Name	Impact Factor	Publisher	ISSN
	Artificial Intelligence Review	13.9	Springer	0269-2821
c	Engineering Applications of Artificial Intelligence	8.0	Elsevier	0952-1976
c	Artificial Intelligence in Medicine	6.1	Elsevier	0933-3657
a	Artificial Intelligence	4.6	Elsevier	0004-3702
	Artificial Intelligence and Law	3.1	Springer	0924-8463
	Progress in Artificial Intelligence	2.4	Springer	2192-6352
c	International Journal of Pattern Recognition and Artificial Intelligence	1.1	World Scientific	0218-0014
	International Journal on Artificial Intelligence Tools	1.0	World Scientific	0218-2130
	The European Journal on Artificial Intelligence	1.0	IOS Press	3050-4554
	Annals of Mathematics and Artificial Intelligence	1.0	Springer	1012-2443

CCF

Full Name

Impact Factor

Publisher

ISSN

Artificial Intelligence Review

13.9

Springer

0269-2821

Engineering Applications of Artificial Intelligence

8.0

Elsevier