What does the OECD model describe regarding the AI life cycle?

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Multiple Choice

What does the OECD model describe regarding the AI life cycle?

Explanation:
At its heart, the OECD model presents a lifecycle-oriented framework for AI that emphasizes how a project moves from conception to governance and ongoing oversight. It describes the journey through stages such as defining the problem and data needs, designing and developing the model, validating and testing, deploying into operation, and continuously monitoring performance and risk. Across each stage, governance considerations—risk management, accountability, transparency, human oversight, and alignment with rights and values—are embedded to keep the AI system trustworthy throughout its life. This framing captures both the technical progression and the governance structure that accompanies AI from start to sustainment, not just a catalog of algorithms, a training manual, or a budgeting method.

At its heart, the OECD model presents a lifecycle-oriented framework for AI that emphasizes how a project moves from conception to governance and ongoing oversight. It describes the journey through stages such as defining the problem and data needs, designing and developing the model, validating and testing, deploying into operation, and continuously monitoring performance and risk. Across each stage, governance considerations—risk management, accountability, transparency, human oversight, and alignment with rights and values—are embedded to keep the AI system trustworthy throughout its life. This framing captures both the technical progression and the governance structure that accompanies AI from start to sustainment, not just a catalog of algorithms, a training manual, or a budgeting method.

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