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There is a kind of leader AI cannot replace. You already have what it takes to lead well in an AI-driven world. The leaders who will shape what comes next are the ones who never stopped trusting themselves. This course is built to reinforce the leader you already are.

The pause before a decision. The instinct that something feels off. The moment you check your own values before you act. These are not inefficiencies. They are the marks of a leader who is actually leading, and they are exactly the qualities this course is designed to strengthen.

The Discretionary Leader™: Decision-Making in Complex Systems and the Emergence of AI is a course about your judgment, values, role, and your responsibility to the organization you serve. AI is the new collaborator, situated at the crossroads of every organizational decision, team dynamic, and strategic move. This course provides the insight and framework to ensure AI serves the mission, not the other way around, and that organizational culture, purpose, and vision remain intact through every decision at every level of execution.

© 2026 Faith Campbell · All rights reserved · The Discretionary Leader™

Who Should Take This Course

This course is designed for anyone who makes decisions and works in an environment where AI is present, or soon will be. No technical background is required. Participants do not need to understand how AI works under the hood, but they should have responsibility for decisions and outcomes in their professional environment.

This course may be especially valuable for:

  • Managers and team leaders integrating AI into daily workflows
  • Executives and directors developing AI strategy and governance
  • Small business owners exploring AI to improve operations and growth
  • Human resources, operations, and culture leaders shaping organizational AI adoption
  • Professionals in any industry who use AI tools and want to apply them more intentionally
  • Individuals responsible for organizational change initiatives where AI plays a role

Participants will benefit most if they already use AI in some capacity and are seeking a practical framework for evaluating AI-generated recommendations, strengthening decision-making, and maintaining human judgment in environments where AI influences outcomes.

What You'll Learn

By the end of the course, participants will be able to:

  • Identify where personal values and judgment should lead decision-making and recognize when they have been overridden by pressure, habit, or AI-generated recommendations.
  • Differentiate between information that genuinely supports a decision and information used to avoid making a decision.
  • Evaluate AI-generated output before acting on it by determining what to verify, question, and trust.
  • Analyze how decisions are made within an organization, including roles, responsibilities, and where human judgment must remain in charge.
  • Create a personal declaration defining how AI will and will not function within a leadership environment.
  • Apply a four-question decision standard to support sound judgment in high-stakes situations involving AI.
  • Develop a complete personal leadership framework consisting of four practical documents that can be applied immediately in professional settings.

What You'll Earn

  • The Discretionary Leader™ Certificate of Completion from The Ohio State University Professional and Continuing Education in partnership with The Discretionary Leader™.
  • A personalized four-part leadership framework for governing AI-related decisions within an organizational context.

Contact Us

For questions about the enrollment process, payment options, technology, or course records, please submit an inquiry and our Enrollment Support team will assist you within 24 hours during business days.

Submit an enrollment inquiry

For questions about course details, contact Faith Campbell at fscmpbll@gmail.com.

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Thank you for your interest in this course. Although no sections are currently open for enrollment, new sections are added regularly. Sign up now to be the first to know when enrollment opens.

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