Artificial Intelligence for Credit Union Executives and Senior Leaders

October 30, 2025 |

In the spirit of collaboration, our colleagues at the Maryland | DC Credit Union Association have extended an invitation to Maine credit unions to virtually join them for a workshop on artificial intelligence (AI). The remote session is being facilitated in partnership with Johns Hopkins University on November 20 from 8:00 am – 5:30 pm. It will provide participants with an AI-focused business strategy that is tailored to credit union executives and senior leaders.

Program Description

In today’s fast-paced business environment, AI is not just a buzzword—it’s a transformative force that can drive innovation, efficiency, and competitive advantage. This one-day executive education course is designed specifically for executives and senior leaders who need to understand the strategic implications of AI to lead their organizations effectively.

Participants will gain a comprehensive understanding of AI, from its historical evolution to its current applications in business. The course covers essential topics such as the ROAD Management Framework for overseeing AI initiatives, measuring AI performance against business objectives, managing data for AI projects, and understanding the implications of generative AI. Additionally, the course will address critical issues such as bias in AI, responsible AI practices, and the impact of AI on labor.

Through a series of real-world case studies and interactive discussions, executives will learn how to engage with and direct technical teams to ensure AI initiatives are aligned with their company’s goals. The day will conclude with a social happy hour, providing an opportunity for networking and informal discussions.

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.

Additional Information

To secure your online spot, or for more information about the program—including facilitator Ian McCulloh—please click here to be re-directed to the Maryland | DC Credit Union Association’s website.