March 27-29, 2023
AAAI - EDGeS
Hyatt Regency San Francisco Airport, Burlingame, CA
AAAI-EDGeS 2023 is part of the AAAI Spring Symposium Series
A Symposium on Challenges and Methods for Assessing the Next Generation of AI
Goals of the Symposium
In the interest of fostering discussion of methodologies for understanding and assessing AI in the domains of reasoning and generativity, we are accepting submissions on topics including (not exhaustive):
Novel training protocols for achieving generalist performance in reasoning and generative tasks
Limitations of current approaches in AI/Machine learning
Novel methodologies to assess progress on increasingly general AI
Methods and tools for identification of vulnerabilities in modern reasoning systems
Quantifiable approaches to assessing ethical robustness of generalist AI systems
Relevant architectures involving neuro-symbolics, neural network-based foundation models, generative AI, common sense reasoning, statistical and relational AI
Architecture for systems capable of reasoned self-verification and ethical robustness
Description of novel systems that combine reasoning with generativity
The Symposium will consist of a set of short presentations, grouped into thematic sessions, combined with discussion, over the duration of 2.5 days.
Extended abstract submission (1-2 pages): 16th of January 2023 - deadline extended to 23rd of January 2023
Notification: 13th of February 2023
Invited Participant registration deadline: 17th of February 2023
Camera-ready submission due: 3rd of March 2023 - deadline extended to 13th of March 2023 (early submissions are highly encouraged!)
Registration deadline: 4th of March 2023
Symposium: 27-29th of March 2023
Publication of accepted submissions
Those authors who would like their submission to be part of the published proceedings should submit their camera-ready papers on OpenReview: https://openreview.net/group?id=AAAI.org/2023/Spring_Symposium_Series/EDGeS
You are invited to submit:
Full technical papers (recommended length 6-8 pages excluding bibliography).
Technical presentation proposals (extended abstract of up to two pages, including a short biography of the main speaker),
Position papers (recommended length 4-6 pages excluding bibliography)
Manuscripts must be submitted as PDF files via EasyChair online submission system.
Please keep your paper format in line with AAAI Formatting Instructions (two-column format). The AAAI author kit can be downloaded from: https://www.aaai.org/Publications/Templates/AuthorKit22.zip .
Papers will be peer-reviewed by the Organizing Committee (2-3 reviewers per paper).
EasyChair submission link: https://easychair.org/conferences/?conf=sss23
At least one of the authors will have to register and present their contribution at the Symposium.
Please send any questions about submissions to firstname.lastname@example.org
Joscha Bach, Principal Research Scientist at Intel Labs, Committee Co-Chair
Amanda Hicks, Senior Ontologist, Johns Hopkins University Applied Physics Lab, Committee Co-Chair
Tetiana Grinberg, AI Research Scientist, Intel Labs
John Beverley, Assistant Professor, University at Buffalo
Steven Rogers, Senior Scientist, Air Force Research Laboratory
Grant Passmore, Co-Founder and Co-CEO, Imandra
Ramin Hasani, Principal AI and Machine Learning Scientist at the Vanguard Group and Research Affiliate at MIT CSAIL
Casey Richardson, Principal Machine Learning Engineer, S&P Global
Richard Granger, Professor, Dartmouth College
Jascha Achterberg, Computational Neuroscientist, University of Cambridge
Kristinn R. Thórisson, Full Research Professor at Reykjavik University, Founder and Managing Director of IIIM
Luc Steels, Professor Emeritus, Barcelona Supercomputing Center
Yulia Sandamirskaya, Neuromorphic Computing lead, Intel Labs