Certbie
Question 1 of 30
InnovAI, a multinational corporation operating in highly regulated sectors across North America, Europe, and Asia, is implementing an AI Management System based on ISO 42001:2023. The company aims to leverage AI to enhance operational efficiency, improve customer experience, and drive innovation. However, InnovAI faces the challenge of balancing global standardization with local adaptation, particularly concerning ethical considerations and regulatory compliance, which vary significantly across different regions. Considering the core principles of AI management and the need for a robust AI Governance Framework, how should InnovAI structure its AI governance to effectively manage AI initiatives across its diverse global operations while adhering to ISO 42001:2023 standards?
Establish a central AI Governance Committee responsible for setting overarching AI policies, ethical guidelines, and risk management standards applicable across all regions, while empowering local business units to implement these guidelines, adapt them to local contexts, and manage the day-to-day operations of their AI systems, subject to regular audits and reporting to the central committee.
Implement a fully centralized AI governance model where all AI-related decisions, including project selection, development, deployment, and monitoring, are made by the central AI Governance Committee, ensuring strict adherence to global standards and minimizing regional variations to maintain consistency and control.
Adopt a completely decentralized AI governance structure, granting full autonomy to each regional business unit to develop and implement its own AI policies, ethical guidelines, and risk management strategies, allowing for maximum flexibility and responsiveness to local market conditions without central oversight.
Outsource AI governance to a third-party consulting firm specializing in AI ethics and compliance, tasking them with developing and enforcing AI policies and procedures across all regions, thereby ensuring objectivity and expertise while minimizing internal resource allocation and potential conflicts of interest.

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