LBS0110 - AI Leadership: Opportunity, Risk, and Responsible Decision-Making
Course Description
Artificial intelligence is changing how professionals work, make decisions, serve customers, and manage risk. Build a practical, nontechnical understanding of generative, predictive, and agentic AI while learning to distinguish meaningful opportunities from hype. Explore workplace applications and risks involving privacy, misinformation, bias, cybersecurity, legal exposure, and overreliance on AI. Through applied discussions and exercises, you’ll develop the judgment and practical tools to evaluate and use AI responsibly in professional settings.
Learner Outcomes
Upon completion of the course, students will be able to:
- Explain foundational Al concepts in clear, nontechnical language.
- Distinguish among generative Al, predictive Al, automation, and agentic tools.
- Identify appropriate Al applications in professional and institutional settings.
- Evaluate Al capabilities and limitations without relying solely on vendor claims or hype.
- Recognize key privacy, accuracy, bias, cybersecurity, legal, reputational, and workforce risks.
- Apply practical questions and responsible-use principles before using or recommending an Al tool.
Who Should Enroll?
This course is designed for executives, senior functional leaders, small business owners, nonprofit leaders, public-sector leaders, and other decision-makers who can influence how Al is evaluated, introduced, or used within their institutions. Participants do not need a technical background. The course is especially relevant for leaders responsible for strategy, operations, people, risk, compliance, customer experience, or organizational change.
Applied Learning Artifact
Participants will develop an Executive Al Decision Canvas that applies the course concepts to one real or plausible Al opportunity relevant to their institution. Developed progressively through structured exercises during the three sessions, the completed one- to two-page canvas will help participants:
• Define the institutional opportunity and the proposed role of Al.
• Identify affected stakeholders and relevant limitations.
• Examine material risks, unanswered questions, and areas requiring human judgment.
• Determine whether to proceed, explore further, pause, or decline.
• Identify an appropriate next step.
Most of the canvas will be completed during class, with some reflection or refinement between sessions.