2018AAAISpecialIssue: Deep Models, Machine Learning and Artificial Intelligence Applications in National and International Security |
Submission link | https://easychair.org/conferences/?conf=2018aaaispecialissue |
Abstract registration deadline | April 30, 2018 |
Submission deadline | April 30, 2018 |
Objectives
We had a successful workshop at the 2017 Fall Symposium Series, November 9-11, at the Westin Arlington Gateway in Arlington, Virginia (https://aaai.org/Symposia/Fall/fss17.php). The papers of the symposium were published as the AAAI Press Technical Report fs17-03 (http://www.aaai.org/Library/Symposia/Fall/fs17-03.php).
Our objective is to extend the success of the workshop and build more in depth of the understanding and collaboration regarding the potentials, theories, practices, tools and risks of deep models for military applications, in an effort to remain competitive in technical leadership and innovation in this area. We also want to leverage the power of the AI magazine’s special issue to maximize the present and future impact of our approaches by reaching out to the strategic thinkers and leaders.
This CFP solicits papers for the AAAI Special Issue titled "Deep Models, Machine Learning and Artificial Intelligence Applications in National and International Security." The timeline for the special issue is as follows:
- Jan. 18: Open call for papers
- April 30: Papers due
- May 31: Feedback on papers from special issue editors
- June 30: Revised papers due
- June 30: Introduction to Special Issue
- July 30: Feedback from AAAI Magazine editors
- August 31: Final papers (and introduction) due
- September 1: Papers to printer
Background and Topics
Recent advancements in artificial intelligence (AI) enables new technologies to assist the modern warfighters by automatically analyzing big data at time scales much faster than a human can achieve. Deep learning (DL) is the core of the new AI revolution by demonstrating that not only can machines classify quicker than humans, but can also classify more accurately than humans. These technologies have revolutionized many commercial applications but are not designed to solve military problems.
Fundamentally, the field of machine learning seeks to learn the parameters of a function given a data set. DL refers to a subfield of machine learning that consists of large number of parameters for accurate classifications or predictions (e.g. convolutional neural networks [CNN]). DL was initially demonstrated in the breakthrough results for supervised learning of machine vision applications. Academic and industrial DL, ML and AI are active in the applications of machine vision, speech recognition, chat and autonomous driving.
Four of the main challenges in military applications include lack of or no adequate samples for classification tasks, short time scales for learning, less computational resources, and adversarial behavior. In the military applications, deep models are broadly defined as all analytic models that can handle big data or no data at all, perform ML and AI.
What are the potentials, theories, practices, tools and risks for the deep models and artificial intelligence for military applications (see the list below but not limited to)?
- Deep data fusion models
- Various types of machine learning models (e.g., supervised learning, reinforcement learning, and unsupervised learning).
- Deep learning models such as deep machine vision and image processing models
- Pattern recognition and anomaly detection algorithms
- Advanced optimization algorithms
- Network models
- Graph models
- Game theory models
- Link analysis models
- Parallel and distributed computing models
- Smart data outputs from deep analytics
- Visualizations and depictions of smart data outputs
- Decision making models
- Cognitive models
- Using AI and human capabilities fused and optimized together, or is there optimized human-in-the-loop AI?
- Advanced optimization algorithms and online learning
- Cyber security, ethical/open AI
- Swarm intelligence
- Trusted AI
Deep models, ML and AI will become the life-blood military applications. With opportunities can be risks. There are more potential opportunities than risks. Can AI be trusted? AI can be weaponized and data can be poisoned. However, opportunities are plenty if we foster broader communities and collaboration.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
- Full papers:
- High-quality expository articles, about 6000-8000 words in length, without a lot of formula or equations
- Author guidelines are available at https://www.aaai.org/ojs/index.php/aimagazine/about/submissions#authorGuidelines. Please submit .pdf files. If and when an article is accepted, AI Magazine will do the layout.
- Please include 2 to 3 reviewers you like
- Submission link is https://easychair.org/conferences/?conf=2018aaaispecialissue
Editors
Editors
- Dr. Ying Zhao, Naval Postgraduate School
- Dr. Arjuna Flenner, NAVAIR, China Lake
Contact
All questions about submissions should be emailed to yzhao@nps.edu