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To establish unambiguous accountability across the entire AI system life cycle, the organization is required to create a formal framework of governance. This framework must involve the explicit delineation and documentation of duties for all internal and external stakeholders. Clear lines of responsibility must be defined for the organization itself, in addition to its suppliers, partners, customers, and any other third-party entities involved, ensuring there is no ambiguity regarding ownership of specific functions.
The organization should systematically identify all internal and external interested parties that are relevant to its AI management system. For each identified interested party, their specific needs and expectations related to the AI management system should be determined. The organization then needs to evaluate these determined needs and expectations and decide which ones will be addressed and integrated into the AI management system.
The organization should define and document the responsibilities for managing the AI system lifecycle. This includes clarifying the roles and responsibilities for different phases such as design, development, deployment, operation, maintenance, and decommissioning. These responsibilities should be clearly assigned not only within the organization but also to external partners, suppliers, customers, and any other third parties involved in the AI system's lifecycle.
Digiturvamallissa kaikki vaatimuskehikkojen vaatimukset kohdistetaan universaaleihin tietoturvatehtäviin, jotta voitte muodostaa yksittäisen suunnitelman, joka täyttää ison kasan vaatimuksia.
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