AAAI-27: Dates, Location, Deadlines & Registration Guide
February 16-23, 2027
TL;DR: AAAI-27, the 41st AAAI Conference on Artificial Intelligence, runs February 16-23, 2027 at the Palais des Congrès de Montréal in Montréal, Canada. This is the flagship academic AI research conference, built...
TL;DR: AAAI-27, the 41st AAAI Conference on Artificial Intelligence, runs February 16-23, 2027 at the Palais des Congrès de Montréal in Montréal, Canada. This is the flagship academic AI research conference, built around a peer-reviewed paper track rather than a vendor expo floor, and AAAI has not yet published AAAI-27 registration pricing or a keynote lineup. This guide covers the verified submission deadlines, the track structure, the AI-assisted peer review pilot the conference is running again this year, what last year’s registration actually cost, and an honest read on who should plan to attend.
Most “AI conference guides” online are written for marketers scouting a vendor booth. AAAI-27 is not that conference. There is no exhibitor hall to wander, no badge scan to dodge. It is a peer-reviewed research conference where a paper’s acceptance letter matters more than any keynote lineup, and where the real audience is people submitting original AI research, not people buying AI tools.
I track AI events the same way I track AI tool deals: because what gets debated on these stages and reviewed in these proceedings tends to show up in production tools a few months later. AAAI is worth watching for a different reason than most conferences on this site, and what surfaces here often lands in the daily AI news weeks later. It is the conference that decides what counts as credible AI research, and its acceptance bar has gotten brutal in the last two years.
In this guide, I will walk through the confirmed dates and venue, the full submission timeline, the track structure (including EAAI-27 and IAAI-27), the AI-assisted peer review pilot AAAI is running again for this cycle, what registration cost last year since AAAI-27 pricing is not public yet, and an honest verdict on who this event actually serves. Every fact below is cross-checked against the official AAAI-27 conference page and AAAI’s own submission-track pages.
If you only need the short version: AAAI-27 is not a “should I attend” decision most people make casually. It is a “should I submit a paper” decision that then determines whether you attend at all.
Key Takeaways
- Dates and venue are confirmed. AAAI-27 runs February 16-23, 2027 at the Palais des Congrès de Montréal in Montréal, Canada, an eight-day span that covers workshops, tutorials, the main technical program, and co-located events.
- This is the 41st edition of a genuinely selective conference. AAAI-26 in Singapore received 23,680 Main Track submissions and accepted 4,167, a 17.6% acceptance rate that dropped from 23.4% the year before even as submission volume nearly doubled.
- AAAI is running the AI-Assisted Peer Review Pilot again. Phase 1 reviews pair two human reviewers with one AI-generated, non-decisional review; AAAI states no paper content is used for LLM training and humans alone make every accept/reject decision.
- Registration pricing for AAAI-27 has not been published yet. The most honest reference point is what AAAI-26 charged: $750 early-bird for returning members, $870 for new members, and $350 for students, before Montréal-specific 2027 rates are announced.
- Keynote speakers have not been announced. AAAI historically confirms its keynote and invited-speaker lineup closer to the event; anyone claiming a confirmed AAAI-27 keynote list right now is guessing.
AAAI-27 is not a trade show. It is a peer-reviewed research conference where your paper’s acceptance letter matters more than any keynote lineup on the program page.
What Is AAAI-27?
AAAI-27 is the 41st AAAI Conference on Artificial Intelligence, the flagship annual event of the Association for the Advancement of Artificial Intelligence, covering the full breadth of AI research from machine learning and natural language processing to robotics, planning, reasoning, and AI ethics. It is built around a competitive, peer-reviewed paper submission process, not a keynote-and-booth format.
The scale here is different from almost anything else on this site’s events calendar. AAAI-26, held in Singapore in January 2026, drew 23,680 Main Track submissions and accepted 4,167 of them, an acceptance rate of 17.6% according to independent conference statistics tracking. That is down from a 23.4% acceptance rate the prior year, even though submission volume nearly doubled year over year. AAAI-27 will almost certainly see comparable or higher volume, given how quickly AI research output has scaled since 2024, a surge just as visible at peer venues like NeurIPS 2026.
That selectivity is the entire point of the conference. AAAI is not judging whether your product demo is impressive. It is judging whether a panel of expert reviewers, now supplemented by an AI-assisted review layer, thinks your methodology and results hold up. Alongside the Main Technical Track, AAAI-27 co-locates EAAI-27 (the AI education track) and IAAI-27 (the innovative applications track), plus a Doctoral Consortium, a New Faculty Highlights track, a Senior Member Presentation Track, and a Special Track on AI for Social Impact.
If you are used to industry conferences where the schedule is built around sponsor slots, this will feel different. The schedule is built around what got accepted, and what got accepted was decided by reviewers who do not care about your marketing budget.
When and Where Is AAAI-27?
AAAI-27 runs February 16-23, 2027, at the Palais des Congrès de Montréal in Montréal, Canada. The eight-day window covers pre-conference workshops, tutorials, and bridge programs in the earlier days, with the main technical program, EAAI-27, and IAAI-27 running through the core of the event.
Montréal is a reasonable choice for a conference this size. It has direct international flights through Montréal-Trudeau International Airport, a large enough convention center to handle a conference that is now regularly clearing 20,000-plus submissions, and a research community (Mila, McGill, Université de Montréal) that gives the location genuine local relevance rather than being picked purely for hotel capacity.
A practical note on timing: mid-to-late February in Montréal means real winter. If you are flying in from a warmer climate, budget for it, both in terms of clothing and in terms of building in buffer time for possible weather-related flight delays.
Quick facts:
| Detail | Information |
|---|---|
| Event | AAAI-27 (41st AAAI Conference on Artificial Intelligence) |
| Dates | February 16-23, 2027 |
| Venue | Palais des Congrès de Montréal, Montréal, Canada |
| Format | Primarily in-person; attendance format details TBA on official site |
| Tracks | Main Technical Track, EAAI-27, IAAI-27, Doctoral Consortium, New Faculty Highlights, Senior Member Track, AI for Social Impact |
| Full paper deadline | July 28, 2026 (UTC-12) |
| Final decisions | November 30, 2026 |
| Registration pricing | Not yet published for AAAI-27 |
| Official site | aaai.org/conference/aaai/aaai-27/ |
Who Should Attend AAAI-27?
AAAI-27 is built for people doing original AI research, not for general AI enthusiasts or tool buyers. The core audience is PhD students and academic researchers submitting or presenting papers, professors and postdocs staying current on the field’s frontier, and a smaller but growing group of applied-AI industry scouts, research leads at labs and larger tech companies who attend specifically to see what is coming out of academia before it shows up in a product roadmap.
You will get real value from AAAI-27 if you fit one of these profiles:
- PhD students and early-career researchers presenting a paper, poster, or Doctoral Consortium submission, for whom the acceptance itself is the primary professional milestone the trip is built around.
- Faculty and postdocs tracking research trends across the Main Track, EAAI-27, and IAAI-27 to shape their own lab’s next project direction.
- Applied-AI industry scouts from research labs or larger engineering organizations who treat AAAI as an early signal for which academic techniques are about to become production-relevant.
- Reviewers and area chairs who are already embedded in the AAAI review process and attend as part of their service to the field.
Here is the honest caveat. If you are not submitting a paper, not doing active AI research, and not specifically hunting for applied research signal, this is very likely the wrong conference for you. There is no vendor floor, no product demo track, and the schedule assumes you already know what a Doctoral Consortium or a Senior Member Presentation Track is. This is not a beginner-friendly, general “learn about AI” event; there are far better entry points for that on the AI tools I’ve tested side of things.
If you are an early-career researcher weighing whether it is worth flying to Montréal without a paper accepted yet, the honest advice is blunt: submit first, decide travel second. Build your July 2026 submission timeline around the July 28 full paper deadline, budget for the trip contingent on the November 30 decision, and apply for your university’s student travel grant early rather than waiting to see if the paper gets in. That sequencing, research first, travel decision second, is basically the only sane way to approach AAAI if you are early-career and budget-constrained.
Speakers and Program: What’s Confirmed So Far
AAAI has not announced a keynote or invited-speaker lineup for AAAI-27 as of this writing. That is normal for this stage of the cycle. AAAI has historically confirmed keynote speakers closer to the event date, well after the paper decision timeline wraps in late November 2026, since the program committee’s attention through mid-2026 is on reviewing tens of thousands of submissions, not booking the invited talks.
What is confirmed is the track structure feeding the program. The Main Technical Track covers the core research areas: machine learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation, human-in-the-loop AI, search, planning, reasoning, robotics, perception, and AI ethics. IAAI-27 runs alongside it as the innovative applications track, aimed at deployed, real-world AI systems rather than pure research contributions. EAAI-27 is the dedicated education track, focused on how AI is taught, and a Doctoral Consortium, New Faculty Highlights, and Senior Member Presentation Track round out the program for researchers at different career stages.
Watch the official AAAI-27 page directly for the keynote announcement rather than trusting any third-party list that claims to have one early. Speaker rumors circulate on academic Twitter and LinkedIn well before AAAI confirms anything officially, and treating those as fact is how outdated conference guides end up publishing names that never actually spoke.
Submission Timeline and the AI-Assisted Peer Review Pilot
AAAI-27’s submission and review process runs on a tight, publicly posted schedule (all deadlines UTC-12). Author registration for the Main Technical Track opened June 17, 2026, paper submission opened June 30, 2026, the abstract deadline is July 21, 2026, and the full paper deadline is July 28, 2026, with supplementary materials and code due by July 31, 2026. Phase 1 rejection notifications go out September 24, 2026, an author feedback window runs October 19-25, 2026, final acceptance and rejection decisions land November 30, 2026, and camera-ready files are due December 14, 2026.
The most genuinely interesting detail in this cycle is the AI-Assisted Peer Review Pilot, which AAAI is continuing into AAAI-27 after running it for AAAI-26. According to the official Main Technical Track call for papers, Phase 1 review pairs two standard human reviews with one AI-generated, non-decisional review. That AI-generated review carries no rating or recommendation, and it only becomes visible to the assigned human reviewers, area chairs, and relevant Program Committee members after the human reviewers have already submitted their own reviews, specifically during the paper discussion phase, not before. AAAI is also explicit that “no paper content will be used for LLM training,” addressing the obvious concern researchers have about submitting unpublished work into a system that touches an AI model. Humans alone still make every accept or reject decision, in line with AAAI’s Code of Professional Ethics and Conduct.
That is a meaningfully more cautious approach than “let AI review your paper.” It treats the AI output as a second opinion for the discussion phase, not a gatekeeper, and it is worth knowing about before you submit, since your paper’s supplementary AI review will exist even if it never influences the outcome.
AAAI-27 Registration Costs: What We Know and Don’t
AAAI has not published registration pricing for AAAI-27 yet, and any article claiming exact 2027 dollar figures right now is guessing. The honest, data-backed reference point is what AAAI-26 in Singapore actually charged, based on the official AAAI-26 registration page.
| Registration Type | Current Member (Early) | New/Renewing Member (Early) |
|---|---|---|
| Regular, in-person | $750 | $870 |
| Student, in-person | $350 | $390 |
| Virtual | $80 | Not applicable |
| Student virtual | $40 | Not applicable |
Figures are AAAI-26 early-bird prices, shown for budgeting reference only. Confirm current AAAI-27 pricing on the official AAAI-27 site once it is published.
A few honest notes on what this table tells you. In-person student pricing at AAAI-26 sat around half the regular member rate, and virtual attendance was dramatically cheaper at $80 for members, which matters if travel budget rather than research quality is your actual blocker. Workshop and tutorial add-ons were separate line items on top of the base registration, not included by default, so budget for those if a specific workshop is the reason you are attending. Whatever AAAI-27 ultimately charges, expect a similar structure: tiered by membership status and student status, cheaper before an early-bird cutoff, and materially cheaper for virtual-only access if that option is offered again.
Discounts and Group Rates
AAAI has not published any AAAI-27-specific discount codes, and no third-party discount partnership exists for this conference through this site. What AAAI has consistently offered in prior years is a student registration tier at roughly half the regular member rate (confirmed at AAAI-26), and a membership discount where paying for or renewing AAAI membership alongside registration reduces the effective cost of attending versus paying the non-member rate outright.
Beyond that, the standard advice applies: registering before the early-bird cutoff has historically saved a meaningful amount versus standard or late pricing at past AAAI events, based on the AAAI-26 fee schedule above. If you want to be notified the moment AAAI-27 registration and pricing go live, or when other verified AI conference details get confirmed, subscribe for AI event alerts and we will flag it.
Is AAAI-27 Worth Attending? My Honest Take
For active AI researchers, PhD students with a paper in the pipeline, and faculty tracking where the field is heading, AAAI-27 is close to unavoidable. It is the flagship venue in the field, the acceptance bar is a real signal of research quality (17.6% at AAAI-26 and dropping), and the co-located EAAI-27 and IAAI-27 tracks mean the conference covers education and applied deployment as seriously as it covers pure research, and what clears that bar tends to shape the year’s AI trends.
The honest caveats are about fit, not quality. If you are not submitting a paper and not doing hands-on AI research, the value proposition weakens fast. There is no product floor, the schedule assumes deep familiarity with the field, and until pricing is published, you cannot even budget the trip with confidence. Industry scouts get real value here, but only if they know specifically what they are scouting for, since wandering an academic poster session without a research background will feel like reading a paper in a language you only half speak.
My buy-or-skip framing: submit first if you are a researcher, then decide on travel once the November 30, 2026 decision lands. Attend virtually if the format is offered and travel budget is the blocker, since AAAI-26’s virtual tier ran a fraction of onsite cost. Skip it entirely if your interest in AI is on the buying and using side rather than the researching side. That is exactly the audience this site’s AI tool testing and reviews already serves better than a peer-reviewed research conference ever will.
AAAI-27 Call for Papers, Author Kit & Paper Format
If you found this page searching for aaai27.sty, aaai27.bst, the AAAI-27 author kit, or the call for papers deadline, here is what the official AAAI-27 submission instructions actually say (verified against aaai.org, July 2026). I’ve kept every date and requirement to what AAAI has published, not what forums guess.
Key submission deadlines (regular technical track)
- Abstract deadline: July 21, 2026
- Full paper deadline: July 28, 2026
- Author registration: required before you can submit abstracts or papers - register well ahead of the abstract deadline to avoid last-minute congestion.
AAAI intends to close the submission system exactly at the deadline and will not make individual exceptions. Abstracts that change substantially between the abstract and full-paper deadlines can be rejected without review. Any paper published fewer than two months before July 28, 2026 is treated as contemporaneous, so you are not required to compare against it.
The AAAI-27 author kit (aaai27.sty, aaai27.bst, LaTeX templates)
Papers must use the AAAI two-column, camera-ready style. The official AAAI-27 Author Kit is the only correct source for the templates - it contains the aaai27.sty style file, the aaai27.bst bibliography style, and the LaTeX source templates (including the anonymous submission template used for double-blind review). Grabbing an older aaai2027.sty or a random GitHub copy is the most common way papers get desk-rejected on formatting, so download the current kit directly from AAAI.
- Format for US Letter (8.5″ x 11″) paper.
- Embed Type 1 or TrueType fonts only; submit trouble-free, high-resolution PDF.
- Do not alter margins, font sizes, or the two-column layout defined in
aaai27.sty.
Reciprocal reviewing: every author joins the reviewer pool
Because of the conference’s size, AAAI-27 expects all authors of a submission to join the reviewer pool unless extenuating circumstances prevent it. This is the “reciprocal reviewer nomination” step people search for - if you submit a paper, plan to review others, and confirm the nomination when AAAI contacts you. Ignoring it can put your own submission at risk.
What about the AAAI-27 acceptance rate?
AAAI has not announced an AAAI-27 acceptance rate, and any number you see for it right now is a guess. For context, recent AAAI main-track cycles have run in the low-20s percent range against record submission volumes, and AAAI-27’s added AI-assisted peer-review pilot is aimed at handling that scale - not at loosening the bar. Treat acceptance as competitive and budget for a strong rebuttal.
Frequently Asked Questions
When and where is AAAI-27?
AAAI-27 runs February 16-23, 2027, at the Palais des Congrès de Montréal in Montréal, Canada. It is the 41st edition of the AAAI Conference on Artificial Intelligence, the flagship annual event of the Association for the Advancement of Artificial Intelligence.
How much does AAAI-27 registration cost?
AAAI has not published AAAI-27 registration pricing yet. As a reference point, AAAI-26 charged $750 early-bird for returning members, $870 for new members, and $350 for students, with virtual access as low as $80.
Who are the confirmed keynote speakers at AAAI-27?
No keynote speakers have been announced for AAAI-27 as of this writing. AAAI typically confirms its invited-speaker lineup closer to the conference date, after the paper decision cycle concludes in late November 2026.
What is the AI-Assisted Peer Review Pilot at AAAI-27?
It is a continuation of the AAAI-26 pilot where each submission gets two human reviews plus one AI-generated, non-decisional review visible only during the discussion phase. AAAI states no paper content is used for LLM training, and humans alone decide every accept or reject outcome.
When is the paper submission deadline for AAAI-27?
The full paper deadline is July 28, 2026 (UTC-12), following an abstract deadline of July 21, 2026. Final acceptance and rejection decisions are scheduled for November 30, 2026.
Is AAAI-27 a good conference for non-researchers or AI tool buyers?
Generally, no. AAAI-27 is built around peer-reviewed research submissions, not product demos or vendor booths, and the acceptance rate was 17.6% at AAAI-26. Readers interested in evaluating and buying AI tools will get more direct value from tool-focused resources than from this research-first conference.
The Bottom Line
AAAI-27 is exactly what its acceptance numbers suggest: the most selective, research-first AI conference most people will encounter, not a casual industry event. Between the confirmed February 16-23, 2027 dates in Montréal, the co-located EAAI-27 and IAAI-27 tracks, and the continuation of a genuinely careful AI-Assisted Peer Review Pilot that keeps humans as the final decision-makers, this is a conference built around the integrity of the research process first and the event experience second.
The insight worth taking with you: at AAAI-27, the conference decision that matters is not “should I register,” it is “should I submit.” Everything else, travel budget, whether to attend in-person or virtually, which workshops to add on, follows from whether your paper clears a review process that rejected over 82% of submissions last cycle.
Your concrete next step: check the official AAAI-27 call for papers against the July 28, 2026 full paper deadline if you have research to submit, and keep an eye on the official AAAI-27 conference page for registration pricing and keynote announcements as they go live. While you wait on those, browse the AI events I’m tracking for conferences that are open to a broader, non-research audience right now.