AI and Autonomy Workshop

2020-27-29-October-AI-and-Autonomy-Workshop-Laurel-MD

AI and Autonomy Workshop
25-28 October 2021
10 AM to 6 PM ET
John Hopkins University Applied Physics Laboratory

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Overview

To foster broad participation from a full spectrum of AI and autonomy leaders, practitioners, analysts, scientists, engineers, and researchers interested in AI and autonomy, this Workshop will be held at the unclassified level.

Within the next five years, the Department of Defense (DoD) will start to deliver AI-enabled capabilities and autonomous systems. Thus, OR analysts must be familiar with the capabilities and limitations of AI and autonomy technologies. Like the February 2019 AI and Autonomy Workshop, this meeting is another step in the journey to build this knowledge set and give analysts a look into the crystal ball at AI-enabled capabilities and autonomous systems.

Defense and Security Applications

Chair: Mr. Dave Saranchak (CTC)
Co-Chair: Mr. Alfred Hull (DoD)

Ethics and Explainability

Chair: Dr. Antonio Giardina (A2I2)
Co-Chairs: Dr. Eric Vorm (NRL) & Mr. Robert Bracknell (NATO)

Test and Evaluation Capabilities

Chair: Dr. Signe Redfield (NRL)
Co-Chair: Dr. Jane Pinelis (JAIC)

Industrial and Academic Collaboration

Chair: Dr. Mae Seto (Dalhousie University)
Co-Chair: Mr. Michael Woudenberg (LMCO)

Looking Five Years into the Future

Chair: Dr. Scott Littlefield (SSCI)
Co-Chairs: Dr. Melonie Richey (Altamira Technologies Corporation)

Agenda

The Workshop will be seminar-based with a set of sessions focused on various “hot” AI and autonomy topic areas plus select recommendations from the 2019 NDAA directed AI study:

Defense and Security Applications

Chair: Mr. Dave Saranchak (CTC)
Co-Chair: Mr. Alfred Hull (DoD)

This session explores the AI maturity needed to develop and deploy AI/Autonomous systems for defense and security applications. The session will demystify the actions necessary to mature organizational characteristics, analytics capabilities, data, and infrastructure through stages of AI awareness, research and development experimentation, deployment into production, and cultural integration. Attendees will obtain practical experience and insights from specific use-cases, perspectives, rules of thumb, and experienced difficulties.

Ethics and Explainability

Chair: Dr. Antonio Giardina (A2I2)
Co-Chairs: Dr. Eric Vorm (NRL) & Mr. Robert Bracknell (NATO)

AI is deepening our world in new ways and creating opportunities for improvements in Defense and other sectors. AI’s apparent blackbox nature is however, fueling debates around ethics and explainability in increasingly complex ways. Issues such as bias, fairness, privacy, trust, and transparency are ubiquitous, and necessitate further conversations around the role of ethics and explainability in the design, implementation, operationalization, and regulation of AI. This session will present current national and international concerns in this arena to motivate efforts towards more explainable and ethical AI frameworks.

Test and Evaluation Capabilities

Chair: Dr. Signe Redfield (NRL)
Co-Chair: Dr. Jane Pinelis (JAIC)

This session will provide a primer on the challenges and existing research being done in the domain of test and evaluation of autonomous and AI-based systems. It will address the various ways in which low level performance evaluation and benchmarking of these systems are supported, and how these low level metrics and techniques can be connected to higher level operational goals to determine the overall effectiveness and operational utility of autonomous and AI-based systems.

Industrial and Academic Collaboration

Chair: Dr. Mae Seto (Dalhousie University)
Co-Chair: Mr. Michael Woudenberg (LMCO)

This session addresses applications and research in industry and academia that may advance the technology base for military AI and Autonomy. Of specific interest are AI/ML autonomy technologies that are addressed in research programs outside the normal visibility of the military, operations research, and Five Eyes communities.

Looking Five Years into the Future

Chair: Dr. Scott Littlefield (SSCI)
Co-Chairs: Dr. Melonie Richey (Altamira Technologies Corporation)

AI developments in the next five years, if implemented correctly, will continue to improve military operations. What’s unknown is how decisive an advantage that will be and whether the gap between our near peers is widening or closing. This session will explore where we are across a number of dimensions, including autonomy, neural networks, and computer vision, as well as the strategic, operational, and tactical implementation of AI/ML.

Keynote Speaker

Lieutenant General Michael S. Groen
Lieutenant General Michael S. Groen

Director at Joint Artificial Intelligence Center

Lieutenant General Michael S. Groen assumed his current position as the Director, Joint Artificial Intelligence Center on 1 October 2020. As a member of the JAIC team, he leads the transformation of U.S. Joint warfighting and departmental processes through the integration of Artificial Intelligence.

Prior to this nomination, General Groen was assigned to the National Security Agency and served as the Deputy Chief of Computer Network Operations, leading this premier Computer Network Exploitation organization. In 2018/2019, he served as the Director for Intelligence, Joint Staff (J2) in direct support of the Chairman of the Joint Chiefs and the Joint Staff. He also served as the Vice J2. Prior to his Joint Staff assignments, General Groen served as the Director of Marine Corps Intelligence (DIRINT) where he championed the redesign of intelligence capabilities into a Marine Corps Intelligence, Surveillance, and Reconnaissance Enterprise (MCISRE).

Ms. Rachael Martin
Ms. Rachael Martin

NGA Lead for Artificial Intelligence, Automation, andAugmentation (AAA) at the National Geospatial-Intelligence Agency (NGA)

Ms. Rachael Martin is currently the NGA Lead for Artificial Intelligence, Automation, andAugmentation (AAA) at the National Geospatial-Intelligence Agency (NGA). As the NGA Lead forAAA, Ms. Martin is the Agency’s chief proponent forimplementation of AAA activities – a leading forcefor NGA and the greater GEOINT community on thepath to AI and automation. AAA works to acceleratethe speed at which NGA provides insight, to refinethe precision of GEOINT assessments, and enhanceenterprise capability to meet the Director’s Intent.Ms. Martin’s efforts drive NGA’s AAA framework incoordination and alignment with the Department ofDefense (DoD) and the Office of the Director ofNational Intelligence (ODNI)

Tutorials

“Approachable AI”; Instructor – Dr. Nate Bastian

This tutorial surveys several topics in artificial intelligence engineering with the overall objective of making the AI discipline more approachable for not only leaders and practitioners but also analysts, engineers, and scientists. In this tutorial, we will 1) highlight the latest trends and applications in AI, 2) review the traditional and emerging AI technologies through the lens of data, tools and solution techniques, 3) describe AI product development, including both the engineering and management of AI-enabled solutions, and 4) discuss the impacts of AI on the DoD and society at-large.

“Creating AI Enabled Systems”; Instructor – Dr. John Piorkowski

Achieving the full vision of AI requires a system perspective to effectively leverage algorithms, data, and computing power. Creating AI-enabled systems includes thoughtful consideration of the mission decomposition for AI solutions, engineering data for algorithm development, and deployment strategies. To realize the impact of AI technologies requires a systems perspective that goes beyond the algorithms. The objective of this course is to bring a system perspective to creating AI-enabled systems.

“Data Cleaning and Knowledge Management"; Instructor – Dr. Jim Kyung-Soo Liew

This tutorial will review several real-world challenges and solutions with data cleaning, gathering, managing, and storing knowledge. Participants will be actively engaged in a lively discussion reviewing case-studies filled with practical problems, obstacles, and solutions. If data is the fuel for any successful AI project, getting the data correct is imperative, but how correct does it have to be to drive Return on Investment (ROI)? Topics covered include: 1) Cleaning Data-The Basics, 2) Extracting Value from Data, 3) Practical Strategies in Storing and Sharing Knowledge, and 4) Scaling Data Solutions to Fuel AI Success.

“eXplainable AI”; Instructor – Dr. Stanton Price

Many state-of-the-art machine learning methodologies have a black-box nature – you do not know what is going on inside; you give the black-box (trained deep learning model) input data, it processes the data, and gives back an output without any explanation behind the decision/prediction that was made. Developing highly effective deep learning models that are also interpretable and/or provide some level of intuition into how its decisions are made is becoming an essential necessity for most DoD and Department of Homeland Security (DHS) applications seeking to employ AI-based technologies into theater. This tutorial will focus on the latest research in the area of explainable AI, with a focus on machine learning-based computer vision applications relevant to the DoD (Intelligence, Surveillance, and Reconnaissance (ISR), targeting, etc.). Further, demos will be presented using MATLAB to illustrate practical use cases and highlight their strengths, weaknesses, and areas of open research.

Registration

The "Invoice Me" option can only be used for the registration fee. This option won't appear if you have social tickets, CEU courses or tutorials in your cart. If you need assistance registering please contact Ms. Tina Yan, tina.yan@mors.org.

AI 3 Day Meeting
Member Non-Member
U.S. Federal Government MORS Sponsor
Includes Optional Tutorial
$450 $550
U.S. Federal Government
Includes Optional Tutorial
$500 $600
National Research Partner (IDA Only)
Includes Optional Tutorial
$523 $618
All Others
Includes Optional Tutorial
$550 $650


Security

Who can attend (Clearance Requirements):

This meeting is open to U.S. citizens and FVEY Partners (Australia, Canada, New Zealand, UK). Non U.S. citizens of U.S. allies may attend at the discretion of MORS. Non U.S. attendees will be notified if their registration to attend is not accepted.

Hotel

Call 240-360-2725 and Reference "MORS AI Meeting" to reserve your hotel room.

Homewood Suites Columbia/Laurel

7531 Montpelier Road
Laurel, MD 20723
Phone: 240-360-2725
Rate: Prevailing per diem rate
Reference "MORS AI Meeting" when making reservations

Deadline to reserve: 24 September