In AI deployment, who is primarily responsible for managing risks in the deployed environment?

• A. AI deployers
• B. External auditors
• C. End users
• D. Marketing teams

Answer: (A)

In deployment, the responsibility for risk management in the live environment falls on the team that actually runs and maintains the AI system. They are the ones who put the model into production, monitor its behavior, apply security and governance controls, manage access, detect anomalies, and respond to incidents. This ongoing oversight is essential because risks can evolve as the system operates, requiring continuous assessment, updates, and remediation.

External auditors provide independent checks and assurance, but they are not the day-to-day managers of risk in production. End users interact with the outputs but do not bear the overarching responsibility for managing systemic risks. Marketing teams have no role in overseeing the deployed AI’s risk posture.