AAAI 2026 Summer Symposium Series

Sponsored by the Association for the Advancement of Artificial Intelligence 

The Association for the Advancement of Artificial Intelligence is pleased to present the 2026 Summer Symposium Series, to be held Monday, June 22-Wednesday, June 24, 2026 at the Dongguk University in Seoul, South Korea. The Summer Symposium Series is an annual set of meetings run in parallel at a common site. It is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community. The two- and one-half-day format of the series allows participants to devote considerably more time to feedback and discussion than typical one-day workshops. It is an ideal venue for bringing together new communities in emerging fields. In line with AAAI’s policy, the symposia will have a ‘no virtual presentations’ policy. All presenters, keynotes, and/or panelists will need to give their talks in person. Additionally, all participants: presenters, organizers, and attendees are REQUIRED to register for the event.

Symposia generally range from 30-50 participants each. Participation was open to active participants as well as other interested individuals on a first-come, first-served basis. Each participant was expected to attend a single symposium. 

The program includes the following symposia: 

• AI-Driven Resilience: Building Robust, Adaptive Technologies for a Dynamic World
• AI in Business: Intelligent Transformation and Management
• Architectures for Embodied Agents: A Synergy of Classic and Foundation Model Paradigms
• Human-Aware AI Agents for the Cyber Battlefield: From Human Models to Autonomous Defense

AAAI Code of Conduct for Events and Conferences 

All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth on the AAAI Code of Conduct for Events and Conferences. 

Registration and General Information 

This is an in-person only event. Virtual attendance or remote presentations will not be permitted.

Important Registration Dates 

• By December 1:  AAAI opens registration for Summer Symposium Series 
• May 19, 2026: Deadline for Registration Refund Requests
• May 19, 2026: Last day before Late Registration Rate begins (See Fee Schedule Below)

Registration Fees

The conference registration fee includes admission to one symposium, access to the electronic proceedings, coffee breaks, and the opening reception.

Refund Requests

The deadline for refund requests is May 19, 2026. All refund requests must be made in writing to summersymposiumseries@aaai.org. A $50.00 processing fee will be assessed for all refunds.

Registration Fee Schedule

AAAI Silver Registration

(Includes AAAI membership, plus the conference)

Onsite Registration Schedule 

General Event Schedule 

Each Symposium’s Schedule May Differ

Additional Information: 

General inquiries regarding the symposium series should be directed to AAAI at summersymposiumseries@aaai.org.

AAAI Summer Symposium Co-Chairs

Christopher Geib (Charles River Analytics, USA), Ron Petrick (Heriot-Watt University, UK)

AAAI Summer Symposium Local Chair

Prof. Woojin Lee (Dongguk University)

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AI-Driven Resilience: Building Robust, Adaptive Technologies for a Dynamic World

The AI for Resilient Communities symposium explores the intersection of artificial intelligence, resilience, and adaptive technologies, highlighting AI’s transformative role in helping communities navigate environmental, economic, and social uncertainties. As societies face escalating challenges—from climate crises to shifting economic landscapes—the need for resilient, adaptive systems has never been more critical. This symposium is designed to foster innovation and dialogue around creating robust communities that can withstand and adapt to crises, evolving into stronger and more resilient entities over time.

This event uniquely promotes synergies between resilience research and AI, advancing the development of adaptive technologies that empower individuals and communities to respond to unforeseen challenges. Although the field of AI-driven resilience and adaptive technology is still emerging, it presents distinct technical, ethical, and operational challenges that require collaborative solutions. The symposium brings together AI researchers, social scientists, policymakers, and industry leaders to identify current gaps, share insights, and devise strategies to address these challenges effectively.

This year we are widening participation by:

• Adding new tracks on socio-technical resilience, human-AI collaboration, and policy frameworks
• Encouraging submissions with regional case studies, especially from climate-vulnerable and resource-restricted areas
• Increasing representation from industry, public sector, and humanitarian organizations to turn research into real-world impact

Attendees are invited to present innovative research, current projects, and theoretical perspectives that contribute to enhancing resilience through robust AI-driven technologies. Submissions that explore scalable AI applications, adaptable to diverse contexts, are especially encouraged. By uniting experts from various disciplines, this symposium aims to accelerate the development of adaptive technologies that build resilient communities capable of thriving in an uncertain world.

Topics

Key areas of interest and challenges include, but are not limited to:

• Large Language Models (LLMs) for Resilient Systems
• Agentic AI and Autonomous Decision-Making
• Data Scarcity and Quality in AI for Resilience
• Interoperable and Scalable AI Systems for Crisis Management
• Trust, Safety, and Robustness in Generative AI
• Advanced techniques for predicting complex economic shifts
• Designing adaptive interfaces and workflows for resilient socio-technical systems
• Ethics and Privacy in Adaptive AI for Sensitive Data Environments
• AI-Powered Predictive Analytics for Environmental and Climate Resilience
• AI for Enhancing Mental Health and Social Cohesion in Crisis Contexts
• Energy-Efficient AI for Sustainable Resilience Applications
• Hybrid Human-AI Systems for Emergency Response and Adaptation
• Continual and Lifelong Learning
• Ethical and Policy Dimensions of Resilient AI
• Multi-Agent Systems and Collective Intelligence
• Resilience in AI Model Design: Robustness and Reliability

Symposium format (e.g., Keynote presentations, breakout sessions, panel-like discussions, combination of formats).

The symposium will be held over two and a half days. The first two days will each include two sessions. Each session will open with a keynote talk, followed by paper presentations by the contributing authors. The third day (half day) will be dedicated to a panel discussion.

Submission:

Contributions can be: 6-8 pages for full papers; 2-4 for short/position papers; up to 2 pages for extended abstract.

Submission should be made through AAAI Official EasyChair Site: https://easychair.org/conferences?conf=suss26. Papers will be included in the AAAI Proceedings.

Deadlines

• Paper Submission: 6^th Feb 2026
• Author notification:20^th Feb 2026
• Camera ready version submission:13^th march 2026

Organizing Committee:

• Prof. Dr. Sajid Anwar
  • Head, School of Computer Science and Information Technology, Institute of Management Sciences, Peshawar, Pakistan
  • Sajid.anwar@imsciences.edu.pk
• Prof. Fernando Moreira
  • Science and Technology Department
  • Universidade Portucalense
  • fmoreira@upt.pt
• Prof. Gwanggil Jeon
  • Incheon National University, Incheon, Korea
  • ggjeon@outlook.com, gjeon@incheon.ac.kr

AI in Business: Intelligent Transformation and Management

AI in Business aims to bring together academics and practitioners to examine how artificial intelligence is reshaping businesses. Since its inception, AI is now commonly found in a wide range of business domains, ranging from operations, customer engagement, and innovation. This symposium will provide a platform to explore both the strategic implications of AI as well as the technological implications of AI to focus on topics such as use of AI in Strategic Decision-making and Forecasting, Operations and Intelligent Systems, Innovation, Ethics and Governance, Learning and Human Development, and Healthcare.

Topics

We invite contributions that align with the symposium’s theme, including but not limited to: Strategic Planning; Sales/Demand Forecasting; Predictive and Prescriptive Analytics; Operations and Supply Chain Management; Automation and Robotics; Internet of Things (IoT) and AI Integration; Finance and Economics; Marketing; Human Resources and Behavioral Analytics; LLM Agents; Ethics and Governance; Other related topics in AI and business applications

Format of Symposium:

The symposium will feature a diverse program that includes invited keynote speakers, contributed talks, tutorial/workshops, social activities, and panel discussion sessions.

Attendance:

Attendance is open to academics, practitioners, and policymakers working in the fields of AI, machine learning, and data science, as well as graduate students and researchers specializing in AI applications for business or related disciplines.

Submission Requirements:

We invite submissions of abstracts (not exceeding 1 page) OR full papers (anonymous and not exceeding 8 pages, see templates in AAAI-25 author kit). Submissions are through the AAAI Official EasyChair platform (Submission Link). 

Important dates:

• Submission Deadline:  February 6 March 1
• Decision Notification:  February 20 March 15

Symposium Organizing Committee:

General Chair: Nahid Jafari, Associate Professor of Supply Chain and AI Management, State University of New York-Farmingdale, NY, USA. jnahid@hotmail.com

Co-chair: Hyejin Cho: Associate Professor of Strategic Management and International Business, State University of New York-Farmingdale, NY, USA, choh@farmingdale.edu

Co-chair: Mohammed Quazi, Assistant Professor, West Virginia University, WV, USA, mmquazi@hsc.wvu.edu

Symposium Supporting Committee:

• Amine Aboussalah, Industry Assistant Professor, Department of Finance and Risk Engineering, Tandon School of Engineering, New York University, NY, USA
• Bruno Kamdem, Assistant Professor of Business Analytics, School of Business, State University of New York- Farmingdale, NY, USA
• Alladoumbaye Ngueilbaye, Associate Researcher, Shenzhen University, China
• Helper Zhou, Research Fellow, University of KwaZulu Natal, Durbin, South Africa
• Swaraj Kate, Supply Chain Analyst, Bell Equipment, Germany

External Symposium URL: https://mquazi.github.io/AI-in-business/

Architectures for Embodied Agents: A Synergy of Classic and Foundation Model Paradigms

The development of reliable, verifiable, and safe embodied agents is a major challenge for AI. The field has explored multiple paradigms, including planning systems that provide formal guarantees, cognitive architectures that incorporate insights from psychology, robotic systems that offer robust and precise control, and foundation models that bring broad coverage and expertise.

However, each framework has critical limitations: planning methods and cognitive architectures often lack knowledge relevant to the task at hand, most robotic systems are designed anew for each application setting, and foundation models lack verifiable safety checks and may hallucinate solutions.

This symposium aims to overcome these drawbacks by examining agent architectures that combine ideas from these traditions. By convening experts from each paradigm, we hope to identify principles for robust,
long-term agent control. The meeting will focus on frameworks that incorporate logical constraints, enforce safety checks, and generate safe actions, yet retain the broad coverage and flexibility of data-driven approaches.

Topics

We invite contributions that explore how these different approaches can work together to create reliable embodied agents. Areas of interest include:

• Core Methodologies: Hybrid architectures that combine reasoning and planning with broad-coverage data-driven expertise; verifiable methods for applying formal methods to stochastic outputs; and use of explicit models or knowledge to guide agent behavior.
• Applications: Reliable long-horizon planning in robotics and autonomous systems; systems for safety-critical domains like manufacturing and driving; and human-robot teams that collaborate safely.
• Interdisciplinary Connections: Inspirations from cognitive architectures; frameworks for ethical enforcement; and system design for explainable embodied agents.

Format

The symposium will be a two-and-a-half-day interactive event. The format will include two to three invited talks from leading experts, contributed talks based on accepted abstracts, and poster sessions for informal discussion and networking.

The target audience includes researchers, practitioners, and graduate students from Robotic Systems, Cognitive Systems, Safe AI, Human-Robot Interaction, and Systems Engineering.

Submission Requirements

Authors should submit two-page abstracts that will be evaluated based on relevance and potential to spark discussion. https://easychair.org/conferences?conf=suss26

• Submission site opens: December 15, 2025
• Submission deadline: March 1, 2026
• Acceptance Notification: April 1, 2026
• Symposium Dates: June 22-24, 2026

Organizing Committee

• Dongkyu Choi, Samsung Electronics
• Pat Langley, Georgia Tech Research Institute
• Jaeheung Park, Seoul National University
• Kenneth Kwok, Agency for Science, Technology and Research
• Sanjay Oruganti, Rensselaer Polytechnic Institute

Supplementary Website: https://aea-aaai2026.com

Human-Aware AI Agents for the Cyber Battlefield: From Human Models to Autonomous Defense

Artificial intelligence is entering a new phase in cybersecurity—one defined by agents that act, adapt, and collaborate on the cyber battlefield. Beyond passive detection, AI systems now simulate attackers, orchestrate autonomous defenses, and assist human operators in complex decision-making. Recent advances include LLM-based penetration testers that chain exploits, hybrid reinforcement learning and LLM systems that defend networks with explainable reasoning, and AI copilots that aid security analysts. Together, these innovations mark the rise of a field where AI agents operate alongside, and sometimes against, human adversaries.

Yet technical progress alone will not suffice. The future of AI in cyber defense depends critically on human factors. Analysts provide context, judgment and ethical oversight that AI lacks, even as human cognition introduces biases, trust issues, and workload limits. Security professionals remain skeptical of opaque tools, favoring hybrid approaches with transparency and auditability. Research in cognitive science and human–AI interaction shows that modeling human learning, heuristics, and theory-of-mind reasoning can make cyber agents more effective, while explainability and calibrated trust are vital for collaboration. The cyber battlefield ahead will thus be one of mixed human and AI agency, demanding integration of technical innovation and human-centered design.

This symposium, AI Agents for the Cyber Battlefield: From Human Models to Autonomous Defense, convenes a new community at this intersection. Topics include attacker agents for ethical hacking and red-teaming; autonomous defenders and multi-agent coordination; human-centered assistants for security operations centers; human-AI teaming in cyber domains; cognitive and behavioral models of attackers and defenders; and trustworthy AI for high-stakes operations.

By combining visionary exploration with rigorous discussion, the symposium will chart a roadmap for developing AI agents for Cybersecurity.

Format

The symposium will feature a mix of invited keynotes, panel discussions, technical sessions, and interactive breakout groups designed to foster collaboration across disciplines. Sessions will be organized by thematic areas. Lightning talks will encourage participants to share early ideas and prototypes.

Attendance

Participation is open to researchers, practitioners, and students from academia, industry, and government. Selection will prioritize relevance to the symposium themes, diversity of perspectives, and potential to contribute.

Submission Requirements

Authors are invited to submit 2–4-page extended abstracts or 8 pages of papers describing ongoing work, published results, or demos relevant to the symposium themes. Selected papers will be included in the symposium of proceedings published by AAAI.

Submission Site

Submissions will be managed through the AAAI Spring Symposium EasyChair portal. For updates and details, visit the symposium website: https://sites.google.com/view/suss26-ai-agents-for-cyber/home

Important dates:

• Author Notification: March 23, 2026
• CRC Deadline: April 13, 2026

Symposium Committee

• Arunesh Sinha – Rutgers University – arunesh.sinha@rutgers.edu
• Kimberly J. Ferguson-Walter – Leidos – kimberly.j.fergusonwalter@leidos.com
• Palvi Aggarwal – University of Texas at El Paso – paggarwal@utep.edu
• Quanyan Zhu – New York University – quanyan.zhu@nyu.edu
• Sridhar Venkatesan – Peraton Labs – svenkatesan@peratonlabs.com
• Yinuo Du – University of Texas at El Paso – ydu@utep.edu