Artificial Intelligence for Credit Union Executives & Senior Leaders:
Directing AI to Drive Business Success
This Session is Hybrid | Attend Remotely or In-Person
Johns Hopkins University in collaboration with the MD|DC Credit Union Association presents an innovative one-day AI business strategy program tailored to Credit Union Executives and Senior Leaders.
Program Description
AI is becoming a strategic imperative for financial institutions—not simply a tool for reducing costs. This one-day executive program will help credit union leaders understand how AI can drive growth, accelerate decision-making, improve member experience, and strengthen competitive position.
Through real-world financial-services case studies, participants will examine AI applications in lending, frontline service, risk management, and generative AI; explore responsible AI and human + AI operating models; and learn how to evaluate opportunities using the R.O.A.D. Management Framework.
The program will also challenge leaders to move beyond isolated AI projects and define an enterprise AI North Star—a vision for how AI can be embedded across the organization. Participants will leave with practical priorities, governance considerations, and actionable next steps for leading AI adoption at their credit union.
Participants will receive a certificate of completion and earn 1.0 Johns Hopkins University CEU.
Key Takeaways
Upon completion of the course, participants will be able to:
- Define key AI terms and explain its role in modern business, including common use cases in decision-making, automation, and customer engagement.
- Analyze real-world case studies to evaluate the benefits and risks of AI systems, including recommender systems and object detection.
- Discuss the contrast between human and machine bias, and how AI can be leveraged to reduce bias in decision-making processes for more equitable outcomes.
- Apply strategic frameworks like the ROAD Framework to align AI initiatives with business objectives and improve communication between business leaders and technical teams.
- Evaluate AI performance metrics and data foundations, understanding the trade-offs between precision, recall, data storage, and resource allocation for better business decisions.
- Design actionable strategies to implement AI projects that enhance customer experiences, improve operational efficiency, and mitigate risks in the financial sector.
Faculty
Ian McCulloh
EVENT DETAILS
Registration Deadline
What credit unions leaders are saying...
“An easy-to-understand deep dive into AI.”
“High quality content facilitated by an industry expert.”
“Provided a comprehensive introduction to AI, will make vendor evaluation and further learning much easier.”
“The session covered all areas of AI and provided insights into how we are currently using AI and the options/benefits for implementing additional uses of AI. You will discover the importance of communication and collaboration as you research and roll out AI enhancements.”
When
Where
JHU Applied Physics Lab
Questions?
Please contact Keyla Caldwell
Executive Assistant to the President/CEO
MD|DC Credit Union Association