AGENDA

Session 1

Monday, May 10
1:00 PM

DoD in AI

The Department of Defense thrives of the speed of critical decision making.  The ability to get raw data and intelligence in a form to be used to make real-time decisions can often be the difference between success and failure.  With such massive complex as DoD, the initiatives in and around AI are difficult to fathom.  The ability to harness the common pursuits and learn from similar failures, as well as coordinate initiatives across the defense complex, can speed the timeline for solving some of the unique challenges facing our military services.  Come listen to our Keynote speaker and panelists to her where DoD is heading with AI applications and where there is significant help still required.

 

Keynote Speaker:
Lt. Gen. Michael Groen, Director, Joint Artificial Intelligence Center (JAIC), U.S. Department of Defense (invited)

 

Keynote Speaker:
The Honorable Katharina McFarland, Commissioner, National Security Commission on AI, and Chair, National Academies of Science Board of Army Research and Development

 

Panel

Check back soon for more updates!

 

Moderator:
TBA

 

Speaker:
Dr. Cheryl Howard, Principal Data Scientist, IBM Data and AI Expert Labs, North American Government

Session 2

Tuesday, May 11
1:00 PM

Health IT

Keynote Speaker:
Dr. Susan Gregurick, Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS), National Institutes of Health (NIH)

 

Panel

Check back soon for more updates!

 

Moderator:
Dr. Phil Bourne, Dean, School of Data Science, University of Virginia (invited)

 

Tech Talk:
Ashish Kachru, President, Altruista Health

Session 3

Wednesday, May 12
1:00 PM

Impact of AI on Cybersecurity

AI has the power to both threaten cybersecurity as well as reinforce, augment, and ensure cybersecurity. Today’s keynote, panel and speakers will discuss how the widespread advancement of AI across many applications such as smart cities, manufacturing, public health, and national security presents new challenges but is also driving new tools to ensure cybersecurity.

 

Keynote Speaker:
TBA

 

Panel – Commonwealth Cyber Initiative (CCI) AI Test Bed

This panel will present the CCI AI Assurance Testbed and Software factory, a research infrastructure developed by the Commonwealth Cyber Initiative for use by CCI academia, industry and government partners across Virginia. The panel will describe the specific infrastructure, its capability and example current project applications. Panelists will discuss the need for the infrastructure to evaluate the level of trust and assurance of AI algorithms. The testbed will provide pre-trained models, pre-built containers, test suite generators, and data in a plug-and-play interface. This new resource is poised to accelerate research, support training and lead to new innovations.

 

Moderator:
Liza Wilson Durant, PhD, Director, Commonwealth Cyber Initiative (CCI), NoVa Node, George Mason University

 

Speakers:
Abdul Rahman, Director, CCI AI Testbed
Dave Ihrie, CTO, CIT
Zachary Tudor, Associate Lab Director Idaho Lab and Homeland Security Science and Technology Directorate
Miles Manic, CCI Faculty Fellow, Director Cybersecurity Center, Virginia Commonwealth University

 

Tech Talk:
TBA

 

Speaker:
TBA

Session 4

Thursday, May 13
1:00 PM

Bias in AI

When humans are involved and the in the decision making loop, the presumption is that their background and life experiences will influence their decision making process.  Applying filters to all of the stimulus is the way we deal with complexity and vast quantities of data that comes at us virtually every waking minute of the day. The result of these influencers in our decision making process is often referred to as bias.  The elimination of bias is a goal in many areas of our life and the hope is that the application of Artificial Intelligence can achieve that end.  But who develops the AI and can bias be eliminated from AI as well?  From screening of online content to the job interviewing process, bias prevents the best outcome.  Come listen to our Keynote speaker and panelists discuss where we are today towards the goal of eliminating or reducing bias through AI.

 

Keynote Speaker:
Kevin Parker, Chairman and CEO, HireVue

 

Panel

Check back soon for more updates!

 

Moderator:
Rod Fontecilla, Senior Vice President, Chief Innovation Officer and Chief Data Scientist, Dovel Technologies

 

Speakers:
Ronald Fricker, Interim Dean College of Science and Professor of Statistics, Virginia Tech

 

Tech Talk:
TBA

 

Speaker:
Laura Freeman, Director, Hume Center’s Intelligent Systems Lab,  Virginia Tech