AAAI-MAKE 2025 aims to bring together a diverse group of researchers and practitioners to explore integrating machine learning (ML) and knowledge engineering (KE) in hybrid, multimodal AI systems. By focusing on the hybrid AI MAKE paradigm, the symposium will examine how combining symbolic reasoning with machine learning across multiple modalities—such as text, speech, image, video, radar, and lidar—can pave the way for trustworthy, generative AI. The symposium will serve as a platform for presenting cutting-edge research and facilitating collaboration between academia and industry, addressing the challenges of creating AI systems that are robust, explainable, and capable of human-like reasoning across diverse applications.
AAAI-MAKE 2025 • AAAI Spring Symposium Series
March 31-April 2, 2025 @ San Francisco Airport Marriott Waterfront, California, USA
Topics
Key topics of discussion will include, but are not limited to:
- Machine Learning, Deep Learning, and Neural Networks
- Knowledge Engineering, Representation, and Reasoning
- Multimodal, Trustworthy, Commonsense, and Explainable AI
- Hybrid AI and Neuro-Symbolic AI
- Generative AI and Large Language Models (LLMs)
- Human-Centered AI, Dialogue Systems, and Conversational AI
- Hybrid (Human-Artificial) Intelligence and Human-in-the-Loop AI
AAAI-MAKE serves as a platform to shape the future of hybrid AI by bridging the gap between machine learning and knowledge engineering. It emphasizes the importance of multimodal systems and generative AI in creating robust, reliable, and transparent AI technologies.
Format and Keynotes
The 2.5-day event will follow the traditional AAAI Spring Symposium Series schedule, with keynotes and morning and afternoon sessions for full, position, and short-paper presentations.
We are pleased to announce the following keynote speakers and invited talks:
- Andrei Barbu is a research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for Brains, Minds, and Machines (CBMM). His research focuses on machine learning, particularly how robots can learn and navigate environments more efficiently, and on improving language understanding through visual perception.
- Leilani H. Gilpin is an assistant professor in Computer Science and Engineering at the University of California, Santa Cruz, and a Science & Justice Research Center affiliate. Her research focuses on developing methodologies for designing self-explaining intelligent ma-chines, particularly emphasizing accountability, liability, and explainability in complex AI systems.
- Alessandro Oltramari is the president of the Carnegie Bosch Institute (College of Engineering, Carnegie Mellon University) and a senior research scientist at the Bosch Research and Technology Center in Pittsburgh. His research focuses on neuro-symbolic reasoning, combining knowledge systems with machine learning algorithms to improve decision intelligence and human-machine collaboration, particularly in autonomous systems and AI-driven decision support.
- Pradeep Ravikumar is a professor in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. His recent research interests are in neuro-symbolic AI, combining statistical machine learning, and symbolic and causal learning.
Submission
We solicit full papers and position/poster/short papers that can include recent or ongoing research, challenges with datasets, and surveys.
All submissions must reflect the formatting instructions of the AAAI author kit and be submitted through EasyChair.
- Full papers (6 to 8 pages plus 1 to 2 “references” pages) and position or short papers (2 to 4 pages plus 1 “references” page) can include recent or ongoing research, challenges with datasets, and surveys.
The invitation of contributors and presenters will be based on a rigorous single-blinded review of papers by the program committee. Submissions that do not adequately address hybrid, multimodal or trustworthy AI may be desk rejected at the editors’ discretion. Accepted papers shall be published as part of the “Proceedings of the AAAI Symposium Series” by the AAAI Library.
Important Dates
- Abstract submission: 23rd of December 2024
- Paper submission: 30th of December 2024
- Notification: 20th of January 2025
- Camera-ready submission: 3rd of February 2025
- Symposium: 31st of March-2nd of April 2025
News
- November 30, 2024: WikiCFP.
- November 30, 2024: EasyChair Smart CFP.
- November 29, 2024: Call for Participation (CfP).
- November 20, 2024: Symposium proposal accepted.
- October 25, 2024: Symposium proposal submitted.
- May 5, 2024: Proceedings of AAAI-MAKE 2024 published.
Organizing Committee
Andreas Martin (primary contact, 📧), FHNW, Olten, Switzerland
Pedro A. Colon-Hernandez, Apple Inc., CA, USA
Maaike de Boer, TNO, The Hague, Netherlands
Hans-Georg Fill, University of Fribourg, Switzerland
Aurona Gerber, University of the Western Cape, Cape Town, South Africa
Knut Hinkelmann, FHNW, Olten, Switzerland
Pascal Hitzler, Kansas State University, Manhattan, KS, USA
Jane Yung-jen Hsu, Chang Gung University, Taoyuan, Taiwan
Yen-Ling Kuo, University of Virginia, VA, USA
Thomas Schmid, Martin Luther University Halle-Wittenberg, Germany
Paulo Shakarian, Arizona State University, Tempe, AZ, USA
Reinhard Stolle, Fraunhofer IKS, München, Germany