ACM Collective Intelligence 2026 (CI 2026)
by ACM SIGCHI and ACM SIGWEB
Where collective intelligence research meets human-AI collaboration
About This Event
ACM Collective Intelligence 2026 is the fourteenth edition of the ACM conference series on collective intelligence, running 27-30 September 2026 at Virginia Tech's Academic Building One in Alexandria, Virginia, in the Washington DC metro area. It is sponsored jointly by ACM SIGCHI and ACM SIGWEB, and this edition is co-located and tightly integrated with the 2026 ACM Conference on Human-AI Complementarity and Alignment (HCOMP) under a shared theme, "Connections". The programme spans collective behaviour in crowds, flocks, swarms, social networks and organisations alongside computer-human collaboration in hybrid systems and large language models. The HCOMP side adds human-AI coordination and division of labour, human feedback and preference learning, evaluation, and AI governance covering alignment, trust and oversight. A separately ticketed workshop day opens the conference on 27 September, followed by an evening reception.
Key Dates & Deadlines
- Student volunteer application deadline
- Early-bird registration
- Regular registration deadline
At a Glance
- Date
- September 27–30, 2026
- Location
- Virginia Tech Academic Building One, Alexandria
- Format
- In-Person
- Event Type
- Conference
- Status
- Upcoming
- Pricing
- Paid
- Organizer
- ACM SIGCHI and ACM SIGWEB
- Added
- Aug 16, 2026
- Updated
- Aug 16, 2026
Topics & Focus Areas
Who Should Attend
- ✓AI research scientists
- ✓Heads of AI and ML research
- ✓Data scientists
- ✓Product leaders building human-in-the-loop AI systems
- ✓AI policy and governance leads
- ✓Academics and PhD students
- ✓Crowdsourcing and annotation platform operators
Why Attend
For a CTO or head of AI, this is the venue where the research behind human-in-the-loop AI is presented before it reaches a vendor roadmap. The co-located HCOMP programme covers exactly the problems enterprise AI teams are stuck on right now: how to divide labour between people and agents, how to collect and use human feedback without poisoning a model, how to evaluate systems whose outputs nobody can fully check, and what oversight actually looks like in practice. Attendees leave with methods and evidence, plus direct access to the researchers producing them and to the federal policy community next door in Washington.
Event Features
- ✓Workshop day on 27 September, half-day and full-day sessions, separately ticketed
- ✓Co-located ACM HCOMP 2026 programme on human-AI complementarity and alignment
- ✓Research track on computer-human collaboration including hybrid systems and LLMs
- ✓HCOMP track on human feedback, preference learning and evaluation of AI systems
- ✓HCOMP track on AI governance: alignment, trust, oversight and responsible practice
- ✓Core CI track on crowds, flocks, swarms, social networks and organisational behaviour
- ✓Tracks on collective forecasting, democracy, deliberation, problem-solving and citizen science
- ✓Welcome reception on the evening of 27 September, included with full conference registration
- ✓NSF travel grant programme and a student volunteer scheme
What Makes This Unique
- ★Co-located and tightly integrated with ACM HCOMP 2026, so one trip reaches both the collective-intelligence and the human-AI-complementarity research communities under a single 'Connections' theme
- ★Jointly sponsored by ACM SIGCHI and ACM SIGWEB, which pulls in human-computer interaction and web-science work rather than a single-discipline programme
- ★Deliberately interdisciplinary scope: biological collectives such as swarms and flocks are presented alongside LLM-based hybrid systems, which is unusual for an AI venue
- ★HCOMP's track on AI governance, alignment, trust and oversight is peer-reviewed research rather than vendor positioning
- ★Held five minutes' walk from the Potomac Yard-VT Metrorail station in the Washington DC metro, putting federal AI policy staff within easy reach
- ★A workshop-day-only pass at $90-$225 makes a one-day visit viable, which most AI conferences do not offer
Industries Represented
Pricing Details
Full conference (27-30 Sep): ACM member $500 early (by 21 Aug), $550 regular (by 4 Sep), $600 late; non-member $600/$650/$700; student $300/$350/$400. Workshop-day-only (27 Sep): ACM member $125/$150/$175; non-member $175/$200/$225; student $90/$100/$110 — same fee for half-day or full-day workshops, including snacks and a boxed lunch. Full registration covers the main programme, refreshments and one ticket to the 27 September reception; extra reception tickets are $90. At least one author of each accepted paper or talk must register for the full conference. Student rates require proof of status.
Organizer
ACM SIGCHI and ACM SIGWEB
sigchi.org/Frequently Asked
- When is ACM Collective Intelligence 2026 (CI 2026)?
- ACM Collective Intelligence 2026 (CI 2026) takes place September 27–30, 2026 in Alexandria, Virginia.
- Where is ACM Collective Intelligence 2026 (CI 2026) held?
- ACM Collective Intelligence 2026 (CI 2026) is held in Alexandria, Virginia. The event format is in-person.
- What is the ACM Collective Intelligence 2026 (CI 2026) submission deadline?
- The next ACM Collective Intelligence 2026 (CI 2026) deadline is student volunteer application deadline on Aug 18, 2026. Remaining dates: Early-bird registration — Aug 21, 2026; Regular registration deadline — Sep 4, 2026.
- How much does ACM Collective Intelligence 2026 (CI 2026) cost?
- ACM Collective Intelligence 2026 (CI 2026) is paid. Full conference (27-30 Sep): ACM member $500 early (by 21 Aug), $550 regular (by 4 Sep), $600 late; non-member $600/$650/$700; student $300/$350/$400. Workshop-day-only (27 Sep): ACM member $125/$150/$175; non-member $175/$200/$225; student $90/$100/$110 — same fee for half-day or full-day workshops, including snacks and a boxed lunch. Full registration covers the main programme, refreshments and one ticket to the 27 September reception; extra reception tickets are $90. At least one author of each accepted paper or talk must register for the full conference. Student rates require proof of status.
- Who should attend ACM Collective Intelligence 2026 (CI 2026)?
- ACM Collective Intelligence 2026 (CI 2026) is aimed at AI research scientists, Heads of AI and ML research, Data scientists, Product leaders building human-in-the-loop AI systems, AI policy and governance leads, Academics and PhD students, Crowdsourcing and annotation platform operators.
- What topics does ACM Collective Intelligence 2026 (CI 2026) cover?
- ACM Collective Intelligence 2026 (CI 2026) covers Collective intelligence, Human-AI collaboration, Large language models and hybrid human-machine systems, Crowdsourcing and human computation, AI alignment, trust and oversight, Human feedback and preference learning, Social networks and belief formation, Forecasting, deliberation and citizen science.
Sources
This page was written from 4 sources, 1 on domains other than ci.acm.org.
- 1.ci.acm.org — 2026vendor
- 2.ci.acm.org — registrationvendor
- 3.ci.acm.org — topicsvendor
- 4.sigchi.org — upcoming
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