AI Strategy & Governance: Building Human-Centered and Accountable Innovation
Overview
This two-hour executive webinar introduces leaders to practical AI strategy fundamentals and lightweight governance frameworks. Participants learn the characteristics of effective AI strategies, common organizational challenges, and how to convert strategic intent into action. The session also defines AI governance – what it is, why it matters, and how federal leadership and emerging standards shape responsible AI deployment.
Guided by federal leadership and the latest national and international standards, including the NIST Generative AI Profile, NIST Adversarial Taxonomies, and ISO/IEC 42001:2023. participants gain a clear framework for balancing innovation, automation, and accountability.
Materials Provided: AI Strategy & Governance Matrix Handout – A practical reference tool summarizing strategic components, governance signals, and oversight considerations.
This course is included in the AI Annual Learning Pass.
Who Should Take This Course
Audience
Executives, managers, and professionals responsible for AI planning, digital transformation, or compliance. No technical background required.
Our Instructor
Pamela K. Isom
- Founder & CEO, IsAdvice & Consulting LLC
- Principal Investigator, Energy Innovations (DOE SBIR)
- Former Director, Artificial Intelligence & Technology Office, U.S. Department of Energy
Pamela K. Isom is a nationally recognized leader in AI governance, cybersecurity, and innovation assurance. She has led federal AI strategy development, authored governance frameworks used across government, and advised multiple agencies on responsible, mission-aligned AI adoption. Her work spans microgrids and energy systems, broadband and telecommunications, cybersecurity modernization, and AI risk management.
Pamela served on red and purple teams for the U.S. Navy’s RAITE 2025 AI test event, contributes to national research efforts such as the Open Power AI Consortium, and is Principal Investigator on a DOE-sponsored innovation project. Her teaching style blends strategic insight, real-world scenarios, and practical tools leaders can apply immediately.
Why You Should Take This Course
By the end of this session, participants will be able to:
- Identify key components of an effective AI strategy
- Recognize common organizational challenges
- Explain the importance of lightweight, effective governance
- Understand how federal and industry leadership and standards guide responsible AI
- Apply lessons from governance successes and failures
- Use human-centered oversight to align AI with mission outcomes
Course Outline
AI Strategy & Governance: Building Human-Centered and Accountable Innovation
Welcome & Orientation
- Goals; strategy–governance connection; introduce handout
Key Components of AI Strategy
- Characteristics, challenges, effective automation
Strategy Reflection Activity
- Using the Matrix handout to guide strategy and assess maturity
AI Governance & Oversight
- Definitions, federal and industry leadership, standards
Case Scenario
- Applying the Matrix to identify governance signals
Wrap-Up
- Final checklist + next steps using the handout