The AAAI Spring Symposium Series will be held March 22-24, 2027 at Santa Clara University in Santa Clara, CA, USA. The Call for Proposals for the Spring Symposium Series is available on the Spring Symposium Series site. Proposals are due Tuesday, November 17, 2026: aaai.org/conference/spring-s…

AAAI-27 Journal Track Proposals are due October 30, 2026. The Journal Track is designed to provide a forum to present diverse and important results from across the subdisciplines of Artificial Intelligence that have been recently published in selective journals but have not previously been presented at AAAI or another major AI conference. Please visit the Call for Papers for full submission requirements: aaai.org/conference/aaai/aaa…

AAAI-27 Bridge Program Proposals due October 16, 2026. The Bridge Program is designed to cultivate collaboration between two or more communities directed toward a common goal. These communities may include distinct AI subfields or different disciplines that contribute to and benefit from AI. The Program aims to tap into new sources of innovation by bringing these communities together. Please visit the Call for Papers for full submission requirements: aaai.org/conference/aaai/aaa…

The proposal deadline for the AAAI-27 Tutorial and Lab Forum has been extended to September 22, 2026. The Tutorial and Lab Forum will be held February 16-17, 2027. Anyone interested in presenting a tutorial or lab at AAAI-27 should submit a proposal as detailed here: aaai.org/conference/aaai/aaa…

The AAAI-27 Program Committee invites proposals for the Bridge Program of AAAI-27. The Bridge Program will be held February 16 and 17, 2027. Individuals interested in organizing a Bridge Program at AAAI-27 are invited to submit a proposal in accordance with the guidelines at the link below. Learn more: aaai.org/conference/aaai/aaa…

🚨 Call for Proposals – AAAI-27 Bridge Program 🚨 Have ideas that can bring together communities across or beyond AI from LLMs and robotics to ethics and the humanities? We want to hear from you! 🌉 📝 Submit by Sep. 18, 2026 🔗 CFP: aaai.org/conference/aaai/aaa… #AAAI27 @RealAAAI

🚨 Call for Proposals-AAAI-27 Tutorial and Lab Forum🚨 Have an exciting AI topic, method, or tool to teach? Developed a lab that helps researchers turn ideas into practice? We want to hear from you!🧪 📝 Submit by Sep. 15, 2026 🔗 CFP: aaai.org/conference/aaai/aaa… #AAAI27 @RealAAAI

➡️ AAAI Presidential Panel on AI Evaluation ⬅️ As a follow up from the 2025 AAAI report on the future of AI research, we have organized deep dives into some of the report's topics. Our next topic will be AI evaluation on Monday September 14, 2026 at 10:00 AM Eastern. Our panel brings together leading voices in AI research to provide balanced perspectives. Discussion topics include: • Why standard software testing methods fail for AI systems • The limits of benchmark-driven testing (and how Goodhart's Law creeps in) • The four dimensions of evaluation the report says we're missing: capability, usability, human-system performance, and legal/ethical compliance • Open research challenges — from monitoring systems that evolve after deployment to evaluating agentic AI safety Panel Members: Sara Hooker, Adaption Karen Myers, SRI International Dawn Song, University of California, Berkley Moderated by: Francesca Rossi, AAAI past president, IBM Whether you're an AI professional, researcher, or simply curious about the future of artificial intelligence, this discussion will offer valuable insights. ➡️ Register: aaaiforms.wufoo.com/forms/qy…

The AAAI-27 Program Committee invites proposals for the Tutorial and Lab Forum of AAAI-27. The Tutorial and Lab Forum will be held February 16-17, 2027. Full information: bit.ly/4gYfDEC Submission site for papers: bit.ly/4ylw9Wq

Reminder: the deadline for the Early Registration Rate for AIES is Monday, September 14, 2026. If you have not yet registered, please be sure to complete your registration at the following link as soon as possible: aaai.getregistered.net/aies-… AIES has reserved a block of rooms at the Clarion Hotel Malmö Live at reduced conference rates. Space is limited, and the cutoff date to reserve a room at the conference rate is Friday, September 11: app.mews.com/distributor/83c… We look forward to welcoming you to AIES-26 this October!

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As a reminder, reviewer bidding exists to match papers with reviewers who have relevant expertise, not to enable reciprocal arrangements or coordinated manipulation of the assignment process. AAAI-27 has adopted specific measures, including hard and soft constraints against reciprocal 2-cycles and an auditing protocol for residual cases, and will refer confirmed violations to the AAAI ethics process. Full details: aaai.org/aaai-publications/a…

The Nineteenth International Symposium on Combinatorial Search (SoCS 2026) was from August 14-16, 2026 in Bremerhaven, Germany. Proceedings are available to review here: ojs.aaai.org/index.php/SOCS/…

Metadata is the foundation of trustworthy, reproducible AI. In the article "The Metadata Ecosystem and AI: Enabling FAIR and AI-Ready Data" by Jane Greenberg, Joel Pepper, Xintong Zhao, Richard Marciano, David Breen, and Yuan An, the authors explore how well-structured metadata makes datasets, models, and workflows more FAIR while strengthening AI readiness across the research lifecycle. Read more: onlinelibrary.wiley.com/doi/…

Metadata is the foundation of trustworthy, reproducible AI. In the article "The Metadata Ecosystem and AI: Enabling FAIR and AI-Ready Data" by Jane Greenberg, Joel Pepper, Xintong Zhao, Richard Marciano, David Breen, and Yuan An, the authors explore how well-structured metadata makes datasets, models, and workflows more FAIR while strengthening AI readiness across the research lifecycle. Read more: onlinelibrary.wiley.com/doi/…

"Knowledge Engineering for Open Science: Building and Deploying Knowledge Bases for Metadata Standards" by Mark A. Musen, Martin J. O'Connor, Josef Hardi, and Marcos Martínez-Romero explores how knowledge engineering and the CEDAR Workbench help scientific communities create and apply shared metadata standards that make research data more FAIR. Read the article: onlinelibrary.wiley.com/doi/…

Datasheets for Machine Learning Sensors" by Matthew Stewart, Yuke Zhang, Pete Warden, Yasmine Omri, Shvetank Prakash, Jacob Huckelberry, João H. Santos, Scott Hymel, Brian Y. Brown, Jim MacArthur, Nathan Jeffries, Emanuel Moss, Michael Sloane, Brian Plancher, and Vijay Janapa Reddi, introduces a datasheet framework for machine learning sensors that standardizes how AI-enabled sensing systems are documented. The framework is designed to improve reproducibility, support regulatory compliance, and build greater trust in physical AI systems. Read the article: onlinelibrary.wiley.com/doi/…

"An Actionable Framework for AI-Ready Data"" by Nikita Majithia, Tom Carey-Wilson, Elena Simperl, and Nigel Shadbolt is available in the Special Issue of AI Magazine. In this article, the authors introduce a practical framework for evaluating whether datasets are prepared for AI applications, outlining key criteria and demonstrating how the framework can be applied to real-world examples. Their work provides a roadmap for improving data quality and readiness across the open data ecosystem. Read the article: onlinelibrary.wiley.com/doi/…