Search all 45 AAAI 2027 workshops by research area, paper type, page limit, deadline and publication policy. Open any workshop for its research scope, accepted contributions, submission requirements, key dates and official links. Anything a source does not state, or where official sources disagree, is marked as such.
Submission deadlines by dateSelect a date to list its workshops
Within 7 daysWithin 14 daysLaterPassed
Compiled independently by QRS from the AAAI workshop directory and organisers' own pages. QRS is not affiliated with AAAI or the workshop organisers, and this is not an official listing. Always confirm requirements on the official call for papers before you submit.
45 workshops
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Left rule: main topicDue within 7 daysWithin 14 days✓Verified!Sources disagree–IncompleteColour key
Multi-Objective and Multi-Task Optimization for Robust AI considers learning problems where accuracy competes with reliability, fairness, privacy, safety, or efficiency.
Agentic Software Engineering studies AI systems that participate in the full software lifecycle, from requirements and formal specifications to coding, testing, verification, maintenance, and scientific computing.
Paper types
Full≤ 8 pp + refs
Short≤ 4 pp + refs
Publication
Publication policy not stated
Submission
Not yet published
Research areas: Multi-agent systems / agentic AILLM reasoning / post-trainingEvaluation / benchmarks / reproducibilityAI robustness / safety / reliabilitySystems / efficient ML
GSR-VLM studies the geometric abilities of vision-language models, from local depth and orientation judgments to consistent reconstruction of spatial arrangements.
Audio-Centric AI studies machine intelligence grounded in sound and speech, with attention to reasoning, temporal structure, audio generation, and multimodal understanding.
This workshop investigates misinformation and disinformation in an environment where generative models can create, personalize, and distribute persuasive content at scale.
AAAI general date; not confirmed by the workshop
Paper types
Full≤ 7 pp + refs
Position≤ 4 pp
Publication
Publication policy not stated
Submission
Not yet published
Research areas: AI robustness / safety / reliabilitySecurity / privacyEvaluation / benchmarks / reproducibilityHuman–AI interaction / collaborationOther specialist domains
LLM Agents Under Threat addresses security failures that arise when language-model agents consume untrusted content, invoke tools, and collaborate across networks.
AI4TS investigates machine learning for sequential and temporal data, including prediction, anomaly detection, classification, representation learning, and causal analysis.
Paper types
Full4–7 pp + refs
Publication
Non-archival
Submission
OpenReview
Research areas: Time series / finance / economicsAttention / representation learningMathematical foundations / theoretical MLEvaluation / benchmarks / reproducibility
AI for science / engineering · Autonomous scientific research / AI scientists · Quantum computing / AI · Systems / efficient ML · Other specialist domains
Agentic Laboratories studies coordinated AI scientists operating in real or simulated physical experiments.
Paper types
Full≤ 7 pp + refs
Short≤ 4 pp + refs
Publication
Non-archival
Submission
OpenReview
Research areas: Autonomous scientific research / AI scientistsMulti-agent systems / agentic AIRobotics / embodied systemsEvaluation / benchmarks / reproducibilityAI for science / engineering
This workshop focuses on measuring autonomous research systems and validating the measurements themselves.
Paper types
Full6–8 pp + refs
Position2–4 pp
Dataset / benchmark2–4 pp
Replication2–4 pp
Negative results2–4 pp
Publication
Non-archival
Submission
OpenReview
Research areas: Autonomous scientific research / AI scientistsEvaluation / benchmarks / reproducibilityCausal inference / interventionsMathematical foundations / theoretical MLMulti-agent systems / agentic AI
Physics-Governed AI for Energy studies machine learning methods that remain consistent with physical principles across electricity, heat, fuels, storage, and energy demand.
Paper types
Full≤ 7 pp
Work in progress3–4 pp
Publication
Non-archival
Submission
OpenReview
Research areas: AI for science / engineeringMathematical foundations / theoretical MLOptimization / learning algorithmsTime series / finance / economicsOther specialist domains
Every workshop named in the official AAAI directory was checked against its organisers' website, call for papers and submission site, last on 28 Oct 2026. General dates and policies come from the AAAI workshop programme.
AAAI's workshop programme overview states 47 workshops, but its public directory names 45. The other two could not be identified from AAAI sources and are not listed.
What the colours mean
TopicThe rule on the left of each card shows the workshop's main topic:Theory and optimisationAgents and decision-makingLanguage and reasoningPerception and embodimentSafety, security and evaluationFinance and time seriesScience and applications
UrgencyRed due within 7 days; amber within 14 days; later deadlines stay neutral.
Information✓Verified details agree across the official sources checked; !Sources disagree official pages give different values, each listed in the details; –Incomplete some details are not yet published or a page could not be reached. These marks are black and grey: amber and red only ever mean time.
Not stated means the sources do not say; it is never a “no”.
Deadlines, shortlist and corrections
Deadlines show the time and zone the organisers state. Dates marked “AAAI general date” are the AAAI defaults, used where a workshop has not published its own. Countdowns and calendar files assume 23:59 Anywhere on Earth when the time or zone is missing.
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