Who typically composes an AI Steering Committee?

• A. Chairperson (senior leader), project sponsors (executives), domain experts, technical experts, and compliance/legal advisors.
• B. Only the CTO and lead data scientist.
• C. Customers and end users.
• D. External consultants only.

Answer: (A)

An AI Steering Committee is a governance body that ensures AI initiatives stay aligned with business strategy, manage risk, and comply with laws and ethics. It is typically led by a chairperson who provides strategic direction, with project sponsors who secure funding and ensure outcomes, domain experts who understand the business context, technical experts who oversee data, models, and technical feasibility, and compliance or legal advisors who address regulatory, privacy, and ethical considerations.

This combination covers all critical angles: strategic goals, real-world applicability, technical viability, and risk controls. The chair guides discussions and accountability, sponsors connect governance to business value, domain experts translate market and operational needs into requirements, technical experts evaluate data quality, model risk, and safety, and compliance/legal advisors flag regulatory constraints and ethical implications. Without any one of these perspectives, decisions can miss important risks or misalign with law, policy, or business aims.

Customers and end users are essential stakeholders whose needs should inform requirements and priorities, but they’re typically represented through product owners or user representatives rather than as the core composition of the steering committee. Relying only on internal technical leads or external consultants fails to provide the broad governance, accountability, and cross-functional oversight required for responsible AI initiatives.