Cross-functional governance models

AI experiences require coordination across multiple disciplines, including design, engineering, research, legal, and ethics. Without good teamwork rules, these groups often work separately, missing risks and creating disjointed experiences.

Good governance starts with clearly deciding who can make what decisions about the AI system. Spell out who can approve features, set boundaries, or make changes. Make sure the right experts have authority while keeping clear who is responsible for outcomes.

Set up clear approval steps for:

• New AI features being launched
• Major changes to how the AI works
• Features that might affect vulnerable users

Create ways for team members to report concerns safely. People should feel comfortable raising issues without worry. Keep records of these concerns and how they were fixed to help future teams.

Include different viewpoints in decision-making groups. Mix technical experts with ethics specialists, lawyers, and subject experts. Bring in both team members and outside voices to avoid one-sided thinking.

Match the level of review to the level of risk. High-risk features need careful review, while simpler, safer features can move through faster approvals.