Strategies for Discussing Agentic AI with the Board

Organizations are increasingly prioritizing the understanding of agentic artificial intelligence and its implications, as highlighted by JoAnn Stonier, the former chief data and AI officer and chief privacy officer at Mastercard. However, traditional governance frameworks often struggle to keep pace with the rapid and intricate cycles of innovation in AI, creating a gap in effective oversight.

Currently, as a consultant specializing in data, AI, and privacy strategy, Stonier points out that board members generally encounter a steep learning curve when addressing the complexities associated with AI technologies. Often, they lack safe environments in which to explore fundamental questions regarding the design, deployment, and governance of AI agents. This absence of baseline knowledge can hinder their ability to examine critical topics such as model guardrails, data lineage, incident response strategies, and the impact on employees.

Stonier emphasizes the importance of board members acquiring a foundational understanding of the creation of AI agents, particularly distinguishing between generative AI and agentic AI. A solid educational groundwork in these areas empowers executives and board members to assess return on investment (ROI) effectively, extending beyond traditional efficiency metrics. The true value of agentic AI often surfaces in unforeseen ways, necessitating a fresh approach to evaluating success that transcends mere cost savings.

In an audio interview conducted by Information Security Media Group during the recent AI Summit in Manhattan, Stonier elaborated on several pressing topics. She discussed the need for boards to gain deeper insights into the architectural choices that underpin AI systems, a crucial step toward informed decision-making.

Stonier also addressed how regulated industries can push the boundaries of innovation while maintaining a responsible mindset that avoids a “break things” approach. Furthermore, she remarked on the urgency for AI funding models to evolve from centralized technology budgets to cross-functional investment strategies, allowing greater flexibility and adaptability within organizations.

As president of The Cantellus Group, Stonier continues to direct her efforts towards formulating effective data, AI, and privacy strategies. Notably, she has held significant positions at Mastercard, including being the organization’s first chief data officer and chief privacy officer, underscoring her extensive experience in the field.

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