Learn together
Study groups, talks, workshops, paper discussions and beginner sessions.
Find established AI clubs and communities, understand who can join, what members do and what rules to expect. Directory links point to official sources.
An AI club is a group of people who meet to learn about artificial intelligence, share ideas, build projects, discuss research or connect with others working with AI. Some are student clubs at universities. Others are professional associations, research communities, local chapters or online groups.
It depends on the club. University clubs may be limited to their campus community, while global and online communities can be open to developers, researchers, students, professionals and curious beginners. You do not necessarily need to know how to code.
Study groups, talks, workshops, paper discussions and beginner sessions.
Collaborative experiments, applications, research and hackathons.
Connect with students, researchers, developers, founders and industry practitioners.
Present work, exchange resources, mentor others and discuss new developments.
Rules vary by organization, but well-run communities commonly expect respectful participation, no harassment or discrimination, no spam, responsible use of AI, respect for privacy and confidential information, proper credit for other people's work, and compliance with the host institution or platform's policies. These are examples, not universal rules.
The organizations below are linked only to official sources. “Who can join” summarizes the eligibility stated publicly by the organization; check the official page for current details.
Who: AI developers, builders, practitioners and enthusiasts through local chapters and online activities.
Activities: Free events, talks and workshops. Its official chapter directory currently spans dozens of countries.
Who: Academic and industrial researchers, practitioners, software developers, end users and students.
Activities: Supports the growth and application of AI across computing, with professional and academic community activities.
Who: People interested in machine-learning research, including researchers from non-traditional backgrounds and people without an institutional affiliation.
Activities: Research collaboration, mentorship, reading groups, research jams, events and an online community.
Who: Stanford students working across AI projects, startups, research and specialist domains.
Activities: A campus hub intended to connect different kinds of student AI work.
Who: Serves GSB students, faculty and the broader Stanford community; its official listing says it is open to interested members.
Activities: Dialogue on AI's business and social applications, industry connections and learning opportunities.
Start with your goal. Choose a student club for campus projects and peers, a professional community for industry networking, a research community for deeper technical collaboration, or a local/online group for regular learning and events. Check whether membership is open, whether events suit your level, and whether the community has clear conduct rules.
A simple club needs a clear purpose, a defined audience, organizers, a code of conduct, a regular activity such as a monthly workshop or study group, and a reliable way for members to communicate. If you start a chapter under an existing organization, follow that organization's own chapter rules rather than creating unofficial branding.
We plan to expand this directory worldwide using official sources. If you represent an established AI club or community, use our contact page and send the club name, official website, location, membership eligibility and joining page. Listings should be independently verifiable.
Directory checked: September 2026. Learn AI Plainly is not affiliated with the organizations listed above.