7:00 a.m.

Registration, Breakfast and Networking

8:00 a.m.

Welcome Remarks
Rich Montoni, NVTC Chairman and Vice Chair of MAXIMUS

8:15 a.m.

Keynote #1

Samuel J. Gordy, General Manager, Chief Strategy Officer, Public and Federal Market, IBM Corporation

8:45 a.m.

Panel #1

AI and the Future of Work: Creating an Adaptable Workforce

A robust pipeline of talent with expertise in AI is essential for national security and economic growth. At the epicenter for AI tech talent demand, leadership from Commonwealth Universities discuss challenges and novel approaches to developing a resilient, adaptable, AI ready-workforce.

Moderator: TBD

Speakers:
Irma Becerra, President, Marymount University
Anne Kress, President, Northern Virginia Community College
Anne Holton, President, George Mason University
Peggy Agouris, Provost, William & Mary

9:30 a.m.

Tech Talk 1

Artificial Intelligence for Experts in Medicine: Lessons from 30 Years of Radiology AI Research

The radiology community has been developing computer aided diagnosis (CAD) tools over the past 30 years before artificial intelligence hype. Recent publications reported that the commercial CAD products used for digital mammograms provided no statistically significant benefits over the performance of radiologists. Conversely, a CAD system for lung cancer screening showed a significant improvement in accuracy and efficiency. The research and investments are increasing on the use of AI tools for a wide range of radiology applications. In spite of the explosive amount of interest in the use of AI for medical imaging, and highly speculative stories in the press, clinical adoption and commercial success of these AI tools remains elusive.

In this presentation we will highlight how imaging AI products are developed and tested for FDA. FDA approval however does not assuare clinical and commercial success. We will summarize remaining issues of wider adoption of this potentially power technology.

Speaker:
Seong K. Mun, PhD, Professor and Director Arlington Innovation Center; Health Research Virginia Tech, Arlington, VA

9:45 a.m.

Networking Break

9:55 a.m.

Fireside Chat

Moderator:
Ed Engles, Managing Director, Accenture

Speaker:
Saivivek Thiyagarajan, Executive Director GTS – Customer Service Technology, Verizon Wireless

10:25 a.m.

Tech Talk #2

Better serving people through scalable AI

As a business of people serving people, Hilton cares deeply about understanding and delivering on what our guests want and need through our unique approach to customer-inspired innovation. To effectively deliver excellence experiences at scale Hilton leverages Artificial Intelligence (AI) and Machine Learning (ML) to find successful team members, scale operations, optimize our industry-leading commercial engines, create personalized offers for guests, and, most importantly – listen & hear the voice of our customers.  As Hilton continues to grow at more than one hotel a day, AI & ML support a laser focus on delivering the right products, in the right destinations, at the right price—and wrapping it all in our signature Hilton hospitality.

Speaker:
Steve Longstreet, Senior Director Strategy–Enterprise Data & Analytics, Hilton

10:45 a.m.

Keynote #2

Josh Rice, Worldwide Head of Business Development, AI/Machine Learning, Amazon Web Services

11:15 a.m.

Tech Talk #3

Challenges and Solutions for AI Adoption at Scale

Over the past five years, techniques like computer vision and machine learning for military planning have made great strides, but significant technical, operational, and psychological barriers to widespread adoption remain. This presentation provides a provocative exposition of some of the key challenges to orientation in an environment of massive disinformation, democratized social media, pervasive sensors, and exploding data volumes. We frame modern AI challenges using John Boyd’s OODA (Observe-Orient-Decide-Act) Loop model and highlight key questions that must be answered to move technology forward. This presentation references numerous (and humorous) examples of AI-gone-wrong in the modern literature and highlights approaches and techniques to solve real-world problems.

Speaker:
Patrick Biltgen, Director of Analytics, Perspecta

11:30 a.m.

Panel #2

Protecting AI Inventions: Current Issues and Best Practices
The IP panel will discuss current issues with and best practices for obtaining IP protection for AI inventions.  The panel will address protecting the various aspects of AI inventions such as the AI engine, training methods, and data sets.  For example, how does current law treat ownership of AI-generated inventions and content?  The panel will also discuss AI IP policy at the US Patent and Trademark Office and their recent efforts regarding the regulation of AI and information gathering on how to promote the patenting of AI inventions.

Moderator: TBD

Speakers:
Charles Kim, Director, Office of Petitions, USPTO
Sean O’Connor, Professor, George Mason University Scalia School of Law
Sameer Gokhale, Partner, Oblon

12:15 p.m.

Lunch

1:00 p.m.

Panel #3

AI in Content Bias
During this panel, the various dimensions of “bias” and the role “AI” plays in content bias will be discussed.  This is a hot topic in media and, unfortunately, a lot of the media has created confusion around the meanings of ‘bias’ and ‘artificial intelligence,’ with ‘bias’ being portrayed as something bad.  Usually this is because the media is using a pretty narrow term for ‘bias’ in the demographic and social sense.

People often blame algorithms for bias, when in reality the whole system needs to be studied to understand the ways in which bias may be introduced since algorithms are only one part of that system.

Setting aside that in the mathematical sense that ‘bias’ is how machine learning works, bias can be good and bad.  This creates ethical, policy, regulatory, legal and social issues.   Two primary concerns many people have are around the use of AI where bias is of chief concern is in military and law enforcement applications.

Moderator:
Charles Onstott, SVP and CTO, SAIC

Speakers:
Patrick Grother, Scientist, NIST
Chuck Cohen, Vice President, NW3C, The National White Collar Crime Center

1:45 p.m.

Tech Talk #4

Computers Who Understand You
Computers can now understand what you say and write like never before. Learn how this is possible and how it will transform everything and expand the reach of machine learning to functions which were previously thought impossible.

Speaker:
Paul Nelson, Innovation Lead for Accenture Applied Intelligence, Accenture

2:00 p.m.

Networking Break