Scenario:
A large multinational organization is rolling out a company-wide AI governance initiative. To build awareness and support adoption, they are evaluating different ways to train employees and stakeholders across departments, including legal, technical, marketing, and customer-facing roles.
Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?
A. Providing all technical employees education on AI development so they can retool and participate in the development of AI systems
B. Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture
C. Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance model
D. Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact
Explanation:
The correct answer is A. While educating technical staff is important, expecting all technical employees to be retooled as AI developers is unrealistic and not aligned with scalable governance practices.
From the AIGP ILT Guide:
"Training approaches should berole-specificand align with the individual's function and responsibilities... Organizations typically do not expect every technical role to participate in model development."
The AI Governance in Practice Report 2025 supports tailored approaches:
“Cross-functional training should be specific to the individual's role and exposure to AI risk... Role-based education supports scalability and comprehension.”
Thus, broad development training for all technical employees is the least practical and least likely approach.