AI: What Senior Leaders Need to Know (US Government)

As AI permeates every aspect of society, leaders are faced with the question of how to harness the potential value of AI technology effectively. “AI: What Senior Leaders Need to Know?” unpacks this question and provides a comprehensive approach to adopting AI technology and minimizing the risk of experiencing the technological valley of death.
In this program, senior leaders will be introduced to the 6-D Framework used by the Department of Defense on AI technology design and deployment projects. They will engage with a comprehensive technology roadmap to gauge the maturity of various AI technology offerings and participate in interactive exercises to create concrete action plans for AI adoption in their respective organizations. 
Start Date November 6–7, 2024
Duration 2 Days
Location Johns Hopkins Bloomberg Center
555 Pennsylvania Avenue, NW
Washington, D.C. 20001
Format In Person
Continuing Education Units (CEUs) 1.0
Investment $3,700

Why choose this course?

This interactive, in-person course offers unparalleled networking opportunities and equips senior government leaders with the tools to transform AI challenges into actionable strategies. Throughout this intensive 2-day workshop, will explore the practical and strategic aspects of integrating AI technologies within their organizations. The course covers the essentials of AI implementation using a comprehensive 6D Framework to ensure a holistic understanding of how AI can drive innovation and efficiency in business processes.

Who should take this course?

This course is for senior US government leaders (GS 14-15, Military 05-06) who are tasked with integrating AI in their organization.

  • Equip senior leaders with a comprehensive approach to adopting AI technology to unpack the question, “How do we turn our organization’s AI strategy into action?”
  • Understand the AI state-of-the-art and recognize opportunities and pitfalls
  • Understand the critical components for building AI-enabled systems
  • Assess and steer the role of AI research on achieving an organization’s mission
  • Develop an action plan for implementing AI in an organization.
  • Holistic AI: Effectively Leading AI Implementation using the 6D Framework (Decomposition, Domain Expertise, Data, Design, Diagnose, and Deployment)
  • Ethics in AI
  • Pioneering Research with Mission Intent
  • Responsible AI
  • AI Test & Evaluation
  • Generative AI
  • DoD Projects & Case Studies
  • Human Systems Integration

Senior US government leaders (GS 14-15, Military 05-06) who are tasked with the integration of AI in their organization.

Profile photo of Kevin Ligozio in a grey suit with tie

Kevin Ligozio (Course Director)

Mr. Kevin Ligozio is the Chief AI Architect of the Asymmetric Operations Sector (AOS) of the Johns Hopkins University Applied Physics Laboratory (APL). AOS comprises approximately 1600 staff across three mission areas focused on advancing the nation’s ability to defeat the asymmetric threat, whether human-made or naturally occurring.
Areas of focus include countering weapons of mass destruction, mission autonomy, cyber operations, biological threats, and terrorism. Mr. Ligozio oversees efforts to achieve these goals through the advancement and utilization of data science and artificial intelligence. Previously, Mr. Ligozio served as the Technical Director and Assistant Group Supervisor of the Tactical Intelligence Systems Group within the AOS, conducting technical research, providing technical oversight and technical staff management for multiple AI programs focused on researching, developing, and integrating AI technologies into DoD tactical-edge platforms.

Mr. Ligozio is also an adjunct professor in The Johns Hopkins University Whiting School of Engineering’s Computer Science Master’s Program. He received a B.A. in Mathematics and Computer Science from the State University of New York at Geneseo and an M.S. in Computer Science from the Rochester Institute of Technology.

Profile photo of Jane Pinelis in a black shirt

Jane Pinelis, PhD

Dr. Jane Pinelis currently serves as the Chief AI Engineer of the Applied Information Sciences Branch at Johns Hopkins University’s Applied Physics Laboratory (JHU/APL). With a background in defense and national security spanning over 15 years, Dr. Pinelis has held various critical positions of responsibility. Before her current role, she served as the inaugural Chief of AI Assurance at the Chief, Digital and AI Office (CDAO) and the Joint Artificial Intelligence Center (JAIC) at the Department of Defense, where she oversaw the Test and Evaluation, as well as Responsible AI directorates. Dr. Pinelis holds a BS in statistics, economics, and mathematics, an M.A. in statistics, and a Ph.D. in statistics, all from the University of Michigan, Ann Arbor.

Profile photo of Christopher Ratto with glasses in a suit and tie posing for a classic portrait.

Christopher Ratto, PhD

Dr. Christopher Ratto is the supervisor of the Artificial Intelligence group in APL’s Research and Exploratory Development Department and has over 15 years of experience applying AI/ML to problems in national security and
defense. The AI Group is comprised of over 40 scientists and engineers conducting foundational research in AI with potential for cross-mission impact, by working in performer and Government-team roles on 6.1-6.2 research programs and “inventing the future” for APL by experimenting emerging AI technologies and sharing lessons learned throughout the Lab. Prior to his current role, Dr. Ratto was a Program Manager in APL’s Sea Control Mission Area for Maritime Remote Sensing. His personal research interests include adversarial machine learning, generative AI, and remote sensing applications of interest to the intelligence community. Dr. Ratto holds a B.E.E. from The Catholic University of America, and an M.S. and Ph.D. in Electrical and Computer Engineering from Duke University.

Duration

2-Day Workshop

Location

JHU Bloomberg Center
555 Pennsylvania Ave, NW
Washington, DC 20001

Dates

Wednesday, November 6
Thursday, November 7, 2024

Investment

$3,700 / person

Workshop Registration

Please complete the registration form below to enroll in this workshop. After you register, you will receive a confirmation email with details about the workshop. If you have questions before registration, please reach out to us. The cost for the workshop can be paid via Credit or Invoice.

LL Course Registration Form

Registration Info

Registration Info

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Johns Hopkins Medicine, Johns Hopkins Health Systems, and Johns Hopkins Applied Physics Lab employees receive a 20 percent tuition scholarship on all programs. Please enter your JHEDID.
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After you submit your registration, someone from our team will reach out to work with you on payment. In the meantime, please reach out to Kandice with questions at [email protected].

Tuition Remission

Full-time, benefits-eligible Johns Hopkins University faculty or staff members are eligible to receive tuition remission if:

  • you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days
  • you continue in a full-time position while enrolled in courses.

You receive 100% remission if:

  • your department certifies that the course benefits your professional development
  • your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week’s notice. The one-week cancellation notice is waived only for emergencies with written documentation.

ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for Tuition Remission after the employee completes 120 days of full-time employment at the university. Please visit the Benefits website at https://hr.jhu.edu/benefits-worklife/tuition-assistance/ for information and requirements.

Visiting Faculty and Staff, Residents, Interns, Postdoctoral Fellows, Retirees, and Dependents are not eligible for Tuition Remission.

There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the HR website.

You will receive a link to the tuition remission form via email to start the process of gaining tuition remission.

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Department will assume cost