ISO 9:1995 Information and documentation -- Transliteration of Cyrillic characters into Latin characters Quiz 03 24Mar25 - Practice Quiz

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Innovision Dynamics, a multinational corporation specializing in renewable energy solutions, is embarking on a large-scale AI implementation project to optimize energy grid management across its global operations. They aim to integrate AI-driven predictive analytics into their existing business processes to improve efficiency, reduce energy waste, and enhance grid stability. The company already has well-established project management frameworks based on Agile methodologies, risk management protocols aligned with ISO 31000, and performance measurement systems tied to key business objectives. Considering the requirements of ISO 42001:2023, what is the MOST effective approach for Innovision Dynamics to manage the AI lifecycle and ensure alignment with their existing business processes?

Integrate the AI lifecycle management into the existing Agile project management framework, adapting it to incorporate specific AI requirements such as data governance, model validation, and ethical considerations, while ensuring alignment with ISO 31000 risk management protocols and established performance metrics.

Create a separate, independent AI management system with its own project management methodologies, risk assessment processes, and performance indicators, operating in parallel with the existing business processes to avoid disrupting established workflows.

Outsource the entire AI lifecycle management to a specialized AI consulting firm, relying on their expertise to handle all aspects of AI development, deployment, and monitoring, without integrating it into the company's existing project management frameworks.

Implement a basic AI governance framework focused primarily on compliance with legal and ethical standards, while allowing individual business units to manage their AI projects independently, without a centralized AI lifecycle management process.

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