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Artificial Intelligence Management System ISOIEC 42001: 2023

3,333.0 6,000.0
عينه من الملف:

 

Artificial Intelligence Management System (AIMS)

Ø  An integrated administrative framework for AI governance and ensuring its safe and responsible use

Ø  The Artificial Intelligence Management System (AIMS) is an advanced institutional system that aims to regulate the development and operation of artificial intelligence systems in a reliable, ethical, and secure manner, based on the requirements of the international standard ISO/IEC 42001:2023.

Ø  This system enables organizations to strike a balance between technical innovation and regulatory compliance through a methodology that integrates governance, risk management, ethical responsibility, data quality, and continuous performance improvement.

الكمية :


System outputs:

·         A comprehensive integrated guide to governance and operation.

·         General policies governing the ethical and operational principles of artificial intelligence.

·         Operational procedures that are measurable and continuously developable.

·         Documentation, analysis, and follow-up templates that facilitate practical application and internal oversight.

·         All outputs are available in editable Word format and can be easily integrated into any electronic management system or smart automation platform.

 Institutional impact of the system:

·         Strengthening digital governance and building trust in AI systems within and outside the institution.

·         Improving decision-making efficiency through the use of reliable and secure AI models.

·         Achieving compliance with international standards in ethical, technical, and legal aspects.

·         Supporting sustainable digital transformation based on responsible innovation.

·         Preparing the organization for international certification in accordance with ISO/IEC 42001:2023.

The Artificial Intelligence Management System (AIMS) is not just a regulatory framework, but a strategic approach to managing the future intelligently and responsibly, ensuring that smart technologies are a means of institutional advancement rather than a source of risk or uncertainty.

 

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