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The organization shall maintain a formal record that identifies all assets required for its artificial intelligence operations. This inventory must comprehensively cover every stage of the AI system's lifecycle, ensuring that resource allocation is documented from initial design and development through to deployment and eventual retirement.
The organization should identify and document all necessary resources for the successful design, development, deployment, and monitoring of AI systems across their entire lifecycle, including the retirement phase.
This includes human resources (e.g., personnel with specific AI expertise), AI system components, data resources (i.e. data used at any stage in the AI system life cycle), tooling resources (e.g. AI algorithms, models or tools), system and computing resources (e.g. hardware to develop and run AI models, storage for data and tooling resources), and data assets. Furthermore, resources needed for any other AI-related organizational activities, such as AI governance, risk management, or ethical reviews, should also be clearly documented.
Digiturvamallissa kaikki vaatimuskehikkojen vaatimukset kohdistetaan universaaleihin tietoturvatehtäviin, jotta voitte muodostaa yksittäisen suunnitelman, joka täyttää ison kasan vaatimuksia.
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Jos sinulla on kysymyksiä, varaa palaveri sinulle sopivaan ajankohtaan.
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