AAAI Conference on Artificial Intelligence (AAAI)

AAAI Conference on Artificial Intelligence (AAAI)

Conference positioning

AAAI Conference on Artificial Intelligence (AAAI) is a top computer-science conference venue for broad artificial intelligence across reasoning, learning, search, knowledge, agents, and applications. It rewards a general-AI contribution whose interest is broader than a single narrow subcommunity. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

• The author names AAAI / AAAI Conference on Artificial Intelligence as the target venue.
• A manuscript in broad artificial intelligence across reasoning needs a conference-fit read before being formatted or submitted.
• The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
• The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

• Core fit: broad artificial intelligence across reasoning, learning, search, knowledge, agents, and applications.
• Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
• The paper should explain why the result matters to AAAI's reviewers, not just why it is interesting to the authors' lab or product context.
• Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
• If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

• Reviewer lens: Treat AAAI as a broad AAAI main-track venue: reasoning, search, planning, agents, knowledge, learning, applications, and AI-and-society all compete under a general AI umbrella. A submission should communicate beyond a single ML subcommunity.
• Contribution hook to foreground: the venue-specific contribution bar.
• Scope vocabulary to use naturally in the abstract and introduction: broad artificial intelligence across reasoning, learning, search, knowledge, agents, and applications.
• Distinctive fingerprint for reviewer calibration: broad, artificial, intelligence, across, reasoning, learning, search, knowledge, agents, applications, venue-specific, contribution, flagship, aaai.
• Official anchor domain: aaai.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

• Use this profile only when the manuscript's central contribution is genuinely in AI/ML flagship and the author can say why AAAI reviewers are the primary audience, not merely a convenient deadline.
• Closest roster neighbors to compare before final routing: international-conference-on- machine-learning (ICML), international-conference-on-learning-representations (ICLR), international-joint-conference-on-artificial-intelligence (IJCAI), artificial- intelligence-and-statistics (AISTATS). Break ties by contribution type, evidence shape,