Founded in 1979, AAAI is an international, nonprofit, scientific society devoted to promote research in, and responsible use of Artificial Intelligence.
Thank you, ICWSM 2026 @icwsm
Last week, Tabbit connected with researchers, students, and AI builders exploring the future of web research.
We shared how our Agentic AI-native browser and web agents can help people search, organize, compare, and act across the web.
Most importantly, we listened.
Grateful for the conversations, feedback, and curiosity from the ICWSM community.
As a follow up from the 2025 AAAI report on the future of AI research, we have organized several deep dives into some of the topics covered by the report. The next discussion will be on scientific integrity featuring an expert panel discussion on a critical issue facing the scientific community: the emerging challenges of artificial intelligence and scientific integrity.
➡️ Friday, June 5, 2026 at 1:00 PM Eastern
Register here: aaaiforms.wufoo.com/forms/qk…
Congratulations to Kevin Leyton-Brown, Professor, University of British Columbia, who received the ACM - AAAI Allen Newell Award for fundamental contributions to artificial intelligence and machine learning, focusing on applications to multiagent systems, heuristic algorithms, social impact, and market design.
Learn more about Leyton-Brown's numerous significant contributions to artificial intelligence:
awards.acm.org/newell
AAAI Career Center offers professional services to help you build and manage your career for maximum potential for success.
Get started: careers.aaai.org/jobseekers/
Curious about the paper assignment algorithm used for AAAI 2026? The new algorithm substantially improved the robustness of large-scale paper–reviewer assignments, eliminating clear forms of strategic behavior and increasing diversity, while retaining nearly all of the assignment quality achieved by standard methods.
Read more: blog.aaai.org/improving-robu…
Make use of our employer account career center features to quickly post your latest job openings, search through viable employee resumes, and manage your applications to select the ideal candidate. Learn more: careers.aaai.org/employers/
We invite proposals for the 2026 Fall Symposium Series, to be held November 5-7 in Arlington, Virginia. The Fall Symposium Series is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community. ➡️ Proposals Due to AAAI via Submission Site by May 29, 2026 ⬅️ aaai.org/conference/fall-sym…
Chad Jenkins and Matt Taylor, AAAI-26 Program Chairs, reflect on their experiences organizing the most attended event in the history of AAAI:
blog.aaai.org/program-chair-…
We invite proposals for the 2026 Fall Symposium Series, to be held November 5-7 in Arlington, Virginia. The Fall Symposium Series is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community.
➡️ Proposals Due to AAAI via Submission Site by May 29, 2026 ⬅️
aaai.org/conference/fall-sym…
We are thrilled to present a detailed report describing the system built for the AAAI-26 AI review pilot, the survey results, and a new benchmark that was created to assess the capabilities of the system.
Read the full article: arxiv.org/pdf/2604.13940
➡️ New Early Bird Deadline: May 19, 2026
AAAI is pleased to present the 2026 Summer Symposium Series, to be held Monday, June 22 - Wednesday, June 24, 2026 at Dongguk University in Seoul, South Korea. The Summer Symposium Series is is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community.
Register today: aaai.getregistered.net/2026-…
Distribution shifts in trustworthy machine learning are examined in the same-titled article authored by Jun Wu. Read the full article in the Spring 2026 edition of AI Magazine: onlinelibrary.wiley.com/doi/…
How do you go about integrating causal knowledge into decision systems or agents? We sat down with Matteo Ceriscioli to find out. This interview is the latest in our series featuring the @RealAAAI / @acm_sigai Doctoral Consortium participants.
aihub.org/2026/04/21/causal-…
Advancing robot learning hinges on making adaptation accessible, efficient, and natural for everyday users. Read more in the article "Training robots with natural and lightweight human feedback" by Erdem Bıyık in the current issue of AI Magazine. onlinelibrary.wiley.com/doi/…
Students frequently make mistakes while solving mathematical problems, and traditional error correction methods are both time-consuming and labor-intensive. Read more in the article by Tianlong Xu, Yi-Fan Zhang, Zhendong Chu, and Qingsong Wen which introduces an innovative Virtual AI Teacher system (VATE) designed to autonomously analyze and correct student errors. onlinelibrary.wiley.com/doi/…
"Flesh and code: The cinematic lineage of AI replacing humans from Maria to Cassandra" explores the evolving representation of Artificial Intelligence (AI) characters in media and its intersection with contemporary technological issues, focusing on the paradoxical human desire for emotional and creative replacement. Read more in the article by: Jiyoung Kim, and Ki Han Kwon. onlinelibrary.wiley.com/doi/…
It was great to chat to @Ab__Sayed as part of our series featuring the @RealAAAI / @acm_sigai doctoral consortium participants. We found out more about his work on formal verification of neural ODEs and how this research applies to transportation.
aihub.org/2026/04/14/formal-…
Ready to find your next job? Take advantage of our Career Center features to help you do your research, find the right job opportunity, and get your experience and skill set in front of your ideal employer. Get started today! careers.aaai.org/jobseekers/