Skip to content
  • Featured Videos
  • Membership
  • Events
  • Resources
  • Journal
  • Reader’s Guides
  • Articles
  • About Us

  • Contact

  • FAQs

  • Sponsorships

  • Account

    • Leading the Human-AI Revolution

    By Suzette Johnson, Robin Yeman, Steve Wilson, Kim Harrison, Christine Hudson

    Strategic Leadership Guidance for Effective Human-AI Interactions for Development and Operations of Safety-Critical Cyber-Physical Systems

    This comprehensive guidance paper addresses how technology leaders can successfully integrate artificial intelligence into safety-critical cyber-physical systems while maintaining effective human oversight. The authors, drawing from extensive industry experience across defense, aerospace, healthcare, and manufacturing sectors, present a practical framework for navigating the complex intersection of AI capabilities, human expertise, and operational risk management.

    The paper introduces the risk-agency quadrant model—a strategic tool for evaluating when AI systems should operate autonomously versus when human intervention is essential. Through detailed case studies spanning autonomous vehicles, military drones, medical wearables, and factory robotics, readers gain concrete insights into both successful implementations and costly failures. The authors demonstrate how organizations can apply Industrial DevOps principles to scale AI adoption responsibly while preserving accountability, safety, and competitive advantage.

    Beyond theoretical frameworks, this work provides actionable guidance through a structured decision-making toolkit designed for cross-functional leadership teams. The paper emphasizes that successful AI integration requires not just technical implementation but thoughtful consideration of workforce development, organizational culture, and security boundaries. Leaders will find practical strategies for upskilling teams, managing change resistance, and building resilient human-AI collaboration models that enhance rather than replace human judgment.

    • Format PDF
    • Pages 66
    • Publication Date September 16, 2025

    Features

    • Strategic Framework

      Clear decision-making model for balancing AI autonomy with human oversight.

    • Real-World Validation

      Proven insights from actual deployments across safety-critical industries.

    • Risk Mitigation

      Comprehensive approach to preventing costly AI implementation failures.

    • Leadership Readiness

      Practical tools for cross-functional teams to navigate AI transformation.

    About the Resource

    This comprehensive guidance paper addresses how technology leaders can successfully integrate artificial intelligence into safety-critical cyber-physical systems while maintaining effective human oversight. The authors, drawing from extensive industry experience across defense, aerospace, healthcare, and manufacturing sectors, present a practical framework for navigating the complex intersection of AI capabilities, human expertise, and operational risk management.

    The paper introduces the risk-agency quadrant model—a strategic tool for evaluating when AI systems should operate autonomously versus when human intervention is essential. Through detailed case studies spanning autonomous vehicles, military drones, medical wearables, and factory robotics, readers gain concrete insights into both successful implementations and costly failures. The authors demonstrate how organizations can apply Industrial DevOps principles to scale AI adoption responsibly while preserving accountability, safety, and competitive advantage.

    Beyond theoretical frameworks, this work provides actionable guidance through a structured decision-making toolkit designed for cross-functional leadership teams. The paper emphasizes that successful AI integration requires not just technical implementation but thoughtful consideration of workforce development, organizational culture, and security boundaries. Leaders will find practical strategies for upskilling teams, managing change resistance, and building resilient human-AI collaboration models that enhance rather than replace human judgment.

    Suzette Johnson
    Robin Yeman
    Steve Wilson
    Kim Harrison
    Christine Hudson
    1 5
    Suzette Johnson

    Suzette Johnson

    Dr. Suzette Johnson is an award-winning author who has spent most of her career in the aerospace defense industry working for Northrop Grumman Corporation. Suzette was the enterprise Lean/Agile transformation lead. In this role, she launched the Northrop Grumman Agile Community of Practice and the Lean/Agile Center of Excellence. She has supported over a hundred enterprise, government, and DoD transitions to and the maturation of Lean-Agile principles and engineering development practices. She has also trained and coached over four thousand individuals on Lean/Agile principles and practices and delivered more than one hundred presentations on Lean/Agile at conferences both nationally and abroad. Her current role is as Northrop Grumman Fellow and Technical Fellow Emeritus, where she continues to actively drive the adoption of Lean/Agile principles with leadership at the portfolio levels and within cyber-physical solutions, specifically within the space sector. As a mentor, coach, and leader, she launched the Women in Computing, Johns Hopkins University Chapter; the Women in Leadership Development program; the Northrop Grumman Lean-Agile Center of Excellence; and the NDIA ADAPT (Agile Delivery for Agencies, Programs, and Teams) working group. She received a Doctorate of Management at the University of Maryland with a dissertation focused on investigating the impact of leadership styles on software project outcomes in traditional and Agile engineering environments. She am also a Certified Agile Enterprise Coach and Scaled Agile Program Consultant/SPCT

    To Author Archive
    Robin Yeman

    Robin Yeman

    Robin Yeman is an award-winning author who has spent twenty-six years working at Lockheed Martin in various roles leading up to senior technical fellow building large systems including everything from submarines to satellites. She led the Agile community of practice supporting a workforce of 120,000 people. Her initial experience with Lean practices began in the late ’90s. In 2002, she had the opportunity to lead my first Agile program with multiple Scrum teams. After just a couple months of experience, she was hooked and never turned back. She both led and supported Agile transformations for intelligence, federal, and Department of Defense organizations over the next two decades, and each one was more exciting and challenging than the last. In 2012, She had the opportunity to extend our Agile practices into DevOps, which added extensive automation and tightened our feedback loops, providing even larger results. Currently, she is the Carnegie Mellon Space Domain Lead at the Software Engineering Institute at Carnegie Mellon. She is also currently pursuing a PhD in Systems Engineering at Colorado State University, where she is working on my contribution to demonstrate empirical data of the benefits of implementing Agile and DevOps for safety-critical cyber-physical systems.

    To Author Archive
    Steve Wilson

    Steve Wilson

    Steve Wilson is the Chief AI and Product Officer at Exabeam, a global cybersecurity innovator, where his team applies cutting-edge AI technologies to tackle real-world challenges. Steve founded and co-chairs the OWASP Gen AI Security Project, leading a global community dedicated to foundational research that secures advanced AI systems - the group maintaining the industry-standard OWASP Top 10 for Large Language Model (LLM) security vulnerability list for AI systems. His award-winning book, “The Developer’s Playbook for Large Language Model Security” (O’Reilly Media), delivers a practical and detailed framework for creating secure, responsible AI applications, earning recognition as the best Cutting Edge Cybersecurity Book by Cyber Defense Magazine. Steve contributed to the development of Java at Sun Microsystems and held leadership positions at industry giants Citrix and Oracle. He holds 11 U.S. and international cybersecurity, networking, and IoT patents. He was named the 2023 Cybersecurity Innovation Leader by Enterprise Security Tech and presented a top-voted session at the 2024 RSA Conference.

    To Author Archive
    Kim Harrison

    Kim Harrison

    Kim Harrison is a sociologist focused on the development and adoption of new technology within the software industry. She enjoys working with early-stage startups that are developing new tools and methodologies for modern development teams. She specializes in strategic communications and community building. She lives in the San Francisco Bay area.

    To Author Archive
    Christine Hudson

    Christine Hudson

    Christine Hudson is a coach and facilitator of modern value flow and facilitative leadership. She is on a mission to help create a world full of happier humans in high-performing teams and organizations.  Christine has a background in enterprise technology and tech entrepreneurship, in product development and management, and in leading change. She loves working with extended leadership teams, helping tens to hundreds of people practice together to achieve the results and culture change they want to see and feel. Her current favorite is working 1:1 with individual leaders who are striving to up their game–to improve the value flow and culture of their organizations.  Christine volunteers as a facilitator for board and leadership meetings of nonprofit organizations she cares deeply about. In the past, she has helped organize and run New Tech meetups and Fort Collins Startup Week.  Christine has a BS in Computer Science and Mathematics from Colorado State University and a smattering of graduate courses on subjects from machine learning to organizational behavior. She speaks several languages (including some French, Spanish, and Dutch and others like Perl, Java, and C++) and loves adventuring–sailing, hiking, skiing, cycling, and climbing–with her partner, friends, and dog.

    To Author Archive

    Similar Resources