We are academic and industrial researchers, practitioners, software developers, end users, and students.
SIGAI is one of the oldest special interest groups in the ACM. SIGAI, then SIGART, started in 1966, publishing the SIGART Newletter that later became the SIGART Bulletin and Intelligence Magazine. Today, SIGAI is an active group with more than one thousand members from academia and industry throughout the world.
AI is increasingly an interdisciplinary area, and your membership supports these goals.
Both members and non-members are welcome to join our mailing list to receive timely announcements of interest to researchers and practitioners.
The mission of the ACM Special Interest Group on Artificial Intelligence (ACM SIGAI) is to promote and support the growth and application of artificial intelligence (AI) principles and techniques throughout computing. ACM SIGAI is made up of and serves three primary communities: academic educators and researchers, professional practitioners, and students. We serve as technical experts both to the internal community of the ACM as well as to external entities interested in AI. We advance our mission through concrete activities, including:
- Sponsoring or co-sponsoring high-quality AI-related conferences;
- Recognizing achievements of academic, professional and student members through major annual awards;
- Publishing a quarterly newsletter (AI Matters) in the ACM Digital Library as well as maintaining a blog on AI matters of interest to the community;
- Providing scholarships to student members to attend conferences;
- Funding, developing, and promoting AI education, publications and public outreach activities both within the AI community and beyond.
Are you a student?
Are you a conference organizer?
By joining ACM:SIGAI both students and professional members receive the same benifits:
- access in the ACM Digital Library to the Proceedings of all the SIGAI sponsored conferences and many in-cooperation conferences;
- discounts on registration at SIGAI sponsored conferences;
- networking and leadership opportunities through SIGAI activities, student and professional chapter meetings, and the ACM student website;
- opportunities for support to attend conferences sponsored by SIGAI to present a paper. Contact the conference chair for details;
- mentoring for PhD students by senior researchers at some conferences sponsored by SIGAI and at the AAAI/SIGAI Doctoral Consortium
Announcements & Events
The selection committee for the ACM/SIGAI Autonomous Agents Research Award is pleased to announce that Professor Maria Gini is the recipient of the 2022 award. Professor Maria Gini is
Brookings Webinar: Should the Government Play a Role in Reducing Algorithmic Bias? On March 12, the Center for Technology Innovation at Brookings hosted a webinar on the role of
HCAI for Policymakers “Human-Centered AI” by Ben Shneiderman was recently published in Issues in Science and Technology 37, no. 2 (Winter 2021): 56–61. A timely observation is that Artificial Intelligence is
AI Matters Blog Posts
Title: ACM SIGAI Webinar: Enlichenment: Insights Towards AI Impact in Education through a Mycelial Partnership between Research, Policy, and Practice For Event Registration Please see the ACM Webinar Site: https://webinars.on24.com/acm/rose Date: Thursday, June 24, 2021 Time: 12:00 PM Eastern Daylight Time Duration: 1 hour Summary: As we begin to emerge from COVID-19, in the face of tremendous learning loss and widening achievement gaps, we, as a society, […]
Brookings Webinar: Should the Government Play a Role in Reducing Algorithmic Bias? On March 12, the Center for Technology Innovation at Brookings hosted a webinar on the role of government in identifying and reducing algorithmic biases (see video). Speakers discussed what is needed to prioritize fairness in machine-learning models and how to weed out artificial […]
HCAI for Policymakers “Human-Centered AI” by Ben Shneiderman was recently published in Issues in Science and Technology 37, no. 2 (Winter 2021): 56–61. A timely observation is that Artificial Intelligence is clearly expanding to include human-centered issues from ethics, explainability, and trust to applications such as user interfaces for self-driving cars. The importance of the HCAI fresh […]
I recently spoke with Dr. Eric Daimler about how we can build on the framework he and his colleagues established during his tenure as a contributor to issues of AI policy in the White House during the Obama administration. Eric is the CEO of the MIT-spinout Conexus.com and holds a PhD in Computer Science from […]
FR and Bad Science: Should some research not be done? Facial recognition issues continue to appear in the news, as well as in scholarly journal articles, while FR systems are being banned and some research is shown to be bad science. AI system researchers who try to associate facial technology output with human characteristics are […]